docs: promote webscraper_search_hint in wiki and mode rules

merge: fix/webscraper/search-hint-quality → main
fix(mcp-webscraper): improve search_hint quality — quote_plus, richer hint, dedup, result_count
2026-04-05 10:11:33 +02:00 · 2026-04-05 09:57:47 +02:00 · 2026-04-05 09:57:43 +02:00 · 2026-04-05 09:53:08 +02:00 · 2026-04-05 09:53:05 +02:00 · 2026-04-05 09:48:22 +02:00
108 changed files with 5538 additions and 46 deletions
@@ -72,3 +72,10 @@ Thumbs.db

 # ── Logs ──────────────────────────────────────────────────────────────────────
 *.log
+
+# ── Wiki (separate git repo — local clone of pi_mcps.wiki.git) ────────────────
+# Edit pages in docs/wiki/pages/*.md (tracked here in pi_mcps).
+# Clone with: git clone http://pplate:TOKEN@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/
+# Deploy with: ./docs/wiki/deploy_wiki.sh
+# Note: /wiki/ is anchored to root so docs/wiki/ (source files) is NOT ignored.
+/wiki/
@@ -8,7 +8,12 @@
 				"/home/pplate/pi_mcps/"
 			],
 			"alwaysAllow": [
-				"*"
+				"git_status",
+				"git_diff_unstaged",
+				"git_branch",
+				"git_create_branch",
+				"git_add",
+				"git_commit"
 			]
 		},
 		"filesystem": {
@@ -28,8 +33,64 @@
 				"src/server.py"
 			],
 			"alwaysAllow": [
-				"webscraper_fetch"
+				"webscraper_fetch",
+				"webscraper_fetch_links"
+			]
+		},
+		"gitea": {
+			"command": "/home/pplate/.local/bin/forgejo-mcp",
+			"args": [
+				"stdio",
+				"--server",
+				"http://192.168.188.119:30008",
+				"--token",
+				"8bf0c734ebda3e61d9c9068489ce58a2bf8d33db"
+			],
+			"alwaysAllow": [
+				"create_issue",
+				"list_repo_issues",
+				"get_issue",
+				"edit_issue",
+				"create_issue_comment",
+				"create_pull_request",
+				"get_repository",
+				"list_my_repositories",
+				"create_wiki_page"
+			],
+			"disabled": true
+		},
+		"playwright": {
+			"command": "npx",
+			"args": [
+				"@playwright/mcp@latest"
+			],
+			"alwaysAllow": [
+				"browser_navigate",
+				"browser_click",
+				"browser_fill",
+				"browser_screenshot",
+				"browser_close",
+				"browser_new_context"
+			]
+		},
+		"mcp-image-gen": {
+			"command": "uv",
+			"args": [
+				"--directory",
+				"/home/pplate/pi_mcps/mcp/mcp-image-gen",
+				"run",
+				"src/server.py"
+			],
+			"env": {
+				"COMFYUI_URL": "http://localhost:8188",
+				"IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated"
+			},
+			"alwaysAllow": [
+				"list_available_models",
+				"get_generation_status",
+				"get_output_directory",
+				"generate_image"
 			]
 		}
 	}
-}
+}
@@ -20,6 +20,28 @@ Patrick is in MCP Builder mindset. He is building or extending MCP servers in th
      README.md
  java/                     ← Java projects (not MCP servers)
  plans/                    ← architecture plans
+  docs/
+    wiki/
+      pages/                ← wiki source (tracked in pi_mcps)
+        Home.md, _Sidebar.md, ...
+      deploy_wiki.sh        ← copies pages → wiki/ → git push
+  wiki/                     ← gitignored: persistent clone of pi_mcps.wiki.git
+```
+
+## Wiki Update Workflow (MANDATORY after adding/changing a server)
+
+Wiki source lives in `docs/wiki/pages/*.md` — real Markdown files, tracked in the main repo.
+
+```bash
+# 1. Edit the relevant page(s) in docs/wiki/pages/
+# 2. Deploy to Gitea wiki:
+./docs/wiki/deploy_wiki.sh "docs: describe your change"
+```
+
+First-time setup (wiki/ clone, done once):
+```bash
+TOKEN=8bf0c734ebda3e61d9c9068489ce58a2bf8d33db
+git clone http://pplate:${TOKEN}@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/
 ```

 ## FastMCP Pattern (non-negotiable)
@@ -81,5 +103,6 @@ test = ["pytest", "pytest-mock", "pytest-cov"]
 1. **Store Fact:** `memory_store_fact("codebase", "mcp/{name} has N tools: [list]. Stack: X. Env vars: Y.")`
 2. **Wire into .roo/mcp.json:** Add the server entry with correct uv path
 3. **Update root README.md:** Add to MCPs table
-4. **Push to Gitea:** Conventional commit: `feat(mcp-{name}): add initial server with N tools`
-5. **Resolve Hypothesis:** Was the tool count and auth pattern as predicted?
+4. **Update wiki:** Create or update `docs/wiki/pages/{server-name}.md` + update `MCP-Servers-Overview.md`, then run `./docs/wiki/deploy_wiki.sh`
+5. **Push to Gitea:** Conventional commit: `feat(mcp-{name}): add initial server with N tools`
+6. **Resolve Hypothesis:** Was the tool count and auth pattern as predicted?
@@ -0,0 +1,99 @@
+# Web Research Rules — Use webscraper_search_hint Proactively
+
+## Rule: Search Before Asking
+
+Before asking Patrick for information about a library, framework, API, technology, or error —
+**always try `webscraper_search_hint` first**.
+
+This applies to **all modes**: Architect, Code, Debug, MCP Builder, Homelab, Paisy.
+
+### Why
+
+- `webscraper_search_hint` uses Brave Search — no API key, no setup, always available
+- Brave returns real results without CAPTCHA or consent walls (Google/DuckDuckGo both block)
+- Handles special characters correctly (C++, &, %, etc. — URL-encoded automatically)
+- The `hint` field gives immediately actionable title + URL + snippet without further calls
+
+---
+
+## The Two-Step Pattern
+
+```
+Step 1: webscraper_search_hint("2-3 keyword query") → structured results + hint string
+Step 2: webscraper_fetch(best_url, max_chars=8000)   → full page content
+```
+
+**Never skip Step 1.** It costs one tool call and often reveals the exact page to read.
+
+### Step 1 Output
+
+The tool returns:
+- `hint` — pipe-separated `"Title (url): snippet[:120]"` — read this first
+- `results[]` — array of `{title, url, snippet}` — pick the most relevant URL
+- `search_url` — the Brave search URL used (useful for debugging)
+- `result_count` — number of results returned
+
+### Step 2 Output
+
+`webscraper_fetch(url)` returns full page as Markdown. Use `max_chars` to control size
+(default 5000; use 8000–12000 for deep doc reads).
+
+---
+
+## Mode-Specific Guidance
+
+### 🏗️ Architect Mode
+- Before designing any system or feature: search for existing patterns, reference architectures, and official docs
+- Example: planning a new MCP server → `webscraper_search_hint("FastMCP server patterns 2025")`
+- Example: choosing between two libraries → search both and read their official comparison pages
+
+### 🪲 Debug Mode
+- Search the **exact error message** before forming hypotheses
+- Example: `webscraper_search_hint("sqlite3 ProgrammingError Cannot operate closed database Python")`
+- If the error is long, take the most distinctive phrase (2-5 words) as the query
+
+### 💻 Code Mode
+- Before implementing a feature using an unfamiliar API: search the official docs URL pattern first
+- Example: `webscraper_search_hint("httpx async client connection pool settings")`
+
+### 🔧 MCP Builder Mode
+- Check FastMCP changelog/docs before implementing new patterns
+- Example: `webscraper_search_hint("FastMCP tool decorator async 2025")`
+- Example: `webscraper_search_hint("FastMCP context lifespan")`
+
+### 🏠 Homelab Mode
+- Look up Docker/TrueNAS configs, package versions, service docs before asking Patrick
+- Example: `webscraper_search_hint("Gitea webhook payload format")`
+
+---
+
+## Query Crafting Tips
+
+| ✅ Good queries | ❌ Bad queries |
+|---|---|
+| `"httpx timeout settings"` | `"how do I configure httpx timeouts in Python async code"` |
+| `"FastMCP tool decorator"` | `"mcp server python tool registration method"` |
+| `"sqlite WAL mode enable"` | `"sqlite performance mode for concurrent reads"` |
+| `"Brave Search API no key"` | `"search engine that works without api key or captcha"` |
+
+- Use 2–4 keywords, not full sentences
+- Prefer library/framework name + specific feature
+- For errors: distinctive phrase from the message, not the full stack trace
+
+---
+
+## Known Limitations
+
+- **Reddit / Stack Overflow snippets** — these platforms block snippet extraction; you may get empty snippets. The URL is still valid — fetch it directly if needed.
+- **Brave CSS selector fragility** — Brave uses Svelte-generated class names that change. If `webscraper_search_hint` returns 0 results unexpectedly, the scraper's CSS selectors may need updating. Last verified working: 2026-04-05.
+- **Use sparingly** — one search call per research task to orient; then fetch specific pages. Don't call it in a loop.
+
+---
+
+## Anti-Patterns to Avoid
+
+- ❌ Asking Patrick "what's the FastMCP syntax for X?" before searching
+- ❌ Designing architecture without looking up existing solutions first
+- ❌ Forming a debug hypothesis without searching the error message
+- ❌ Writing code against an API from memory without verifying current docs
+- ❌ Calling `webscraper_search_hint` more than 2-3 times for the same topic (broaden/narrow the query instead)
@@ -9,6 +9,7 @@ description: Commits and pushes code to the homelab Gitea server using conventio
 - Finished a homelab change and need to commit + push
 - Finished an MCP server build or update
 - BigMind feature complete
+- Wiki pages were added or updated (always deploy wiki after docs changes)

 ## When NOT to use
 - ADP/Paisy work — that goes to the corporate Bitbucket, not homelab Gitea
@@ -18,12 +18,24 @@ workshop/

 ---

-## 🐍 MCP Servers (`mcp/`)
+## 📖 Wiki
+
+Full documentation lives in the [Gitea wiki](http://192.168.188.119:30008/pplate/pi_mcps/wiki).
+
+**Wiki source:** [`docs/wiki/pages/`](docs/wiki/pages/) — edit here, deploy with:
+```bash
+./docs/wiki/deploy_wiki.sh
+```
+
+---
+
+## � MCP Servers (`mcp/`)

 | Server | Description | Stack |
 |---|---|---|
 | [`mcp/bigmind/`](mcp/bigmind/) | Persistent AI memory — sessions, facts, hypotheses, profile UI | Python, FastMCP, SQLite, Flask |
-| [`mcp/webscraper/`](mcp/webscraper/) | Web scraping — fetch, links, tables, sections, sitemaps | Python, FastMCP, httpx, BeautifulSoup |
+| [`mcp/webscraper/`](mcp/webscraper/) | Web scraping, search — fetch, links, tables, Brave Search | Python, FastMCP, httpx, BeautifulSoup |
+| [`mcp/mcp-image-gen/`](mcp/mcp-image-gen/) | AI image generation — text-to-image via ComfyUI + FLUX.1-schnell | Python, FastMCP, httpx, ComfyUI |

 **Run a server:**
 ```bash
@@ -0,0 +1,622 @@
+#!/usr/bin/env python3
+"""Create all 7 wiki pages for pi_mcps on Gitea."""
+import base64
+import json
+import urllib.request
+import urllib.error
+
+GITEA_URL = "http://192.168.188.119:30008"
+OWNER = "pplate"
+REPO = "pi_mcps"
+TOKEN = "8bf0c734ebda3e61d9c9068489ce58a2bf8d33db"
+IMG_BASE = f"{GITEA_URL}/{OWNER}/{REPO}/raw/branch/main/docs/wiki/images"
+
+PAGES = {}
+
+PAGES["Home"] = f"""# 🔧 pi_mcps — Patrick's Homelab Monorepo
+
+![Home Banner]({IMG_BASE}/home-banner.png)
+
+Welcome to **pi_mcps**, Patrick's personal homelab monorepo. This repository houses MCP (Model Context Protocol) servers, Java projects, and homelab tooling — all built and maintained on a Fedora Linux workstation with an AMD Ryzen 5900X + RX 7900 XTX.
+
+## What's in this repo?
+
+| Directory | Contents |
+|---|---|
+| [`mcp/mcp-image-gen/`](../src/branch/main/mcp/mcp-image-gen) | 🎨 AI image generation via ComfyUI + FLUX.1-schnell |
+| [`mcp/webscraper/`](../src/branch/main/mcp/webscraper) | 🕸️ Web scraping and data extraction |
+| [`mcp/bigmind/`](../src/branch/main/mcp/bigmind) | 🧠 Persistent AI memory system |
+| [`java/`](../src/branch/main/java) | ☕ Java EE / Spring projects |
+| [`plans/`](../src/branch/main/plans) | 📋 Architecture decisions and health reports |
+
+## Stack
+
+- **Language:** Python 3.11+ (MCP servers), Java 17 (legacy projects)
+- **MCP Framework:** FastMCP 2.x
+- **Package Manager:** `uv` (all Python projects)
+- **Testing:** `pytest`
+- **GPU:** AMD RX 7900 XTX (ROCm / HSA)
+- **Server:** TrueNAS.local at `192.168.188.119` (Gitea, Docker)
+
+## MCP Servers
+
+Three production-ready MCP servers power Patrick's AI development environment:
+
+| Server | Status | Description |
+|---|---|---|
+| [mcp-image-gen](mcp-image-gen) | ✅ Live | Generate images from text prompts via ComfyUI |
+| [mcp-webscraper](mcp-webscraper) | ✅ Live | Scrape web pages, extract tables, fetch links |
+| [BigMind](BigMind) | ✅ Live | Persistent AI memory across all sessions |
+
+---
+
+*Built and maintained by Patrick Plate (pplate) · Homelab: TrueNAS.local · AI Colleague: Lumen*
+"""
+
+PAGES["MCP-Servers-Overview"] = f"""# 🔌 MCP Servers Overview
+
+![MCP Overview Banner]({IMG_BASE}/mcp-overview-banner.png)
+
+This repo contains three production-grade MCP (Model Context Protocol) servers, each specialized for a different capability domain. Together they give Roo Code / Claude Desktop a complete set of superpowers.
+
+## The Three Pillars
+
+```
+Roo Code / Claude Desktop
+       │
+       ├── bigmind ──────────► ~/.mcp/bigmind/memory.db  (persistent memory)
+       ├── mcp-image-gen ────► ComfyUI @ localhost:8188   (image generation)
+       └── webscraper ───────► Internet / Intranet         (web scraping)
+```
+
+## Comparison Table
+
+| Feature | mcp-image-gen | webscraper | bigmind |
+|---|---|---|---|
+| **Purpose** | Generate images from text | Scrape & parse web | Persistent AI memory |
+| **Tools** | 4 | 7 | 15+ |
+| **Backend** | ComfyUI / FLUX.1-schnell | httpx + BeautifulSoup4 | SQLite + FTS5 |
+| **GPU required** | ✅ AMD RX 7900 XTX | ❌ | ❌ |
+| **Tests** | 19/19 ✅ | ✅ | 297/297 ✅ |
+| **Schema version** | n/a | n/a | v7 |
+
+## Quick Links
+
+- 🎨 [mcp-image-gen](mcp-image-gen) — Image generation docs
+- 🕸️ [mcp-webscraper](mcp-webscraper) — Web scraping docs
+- 🧠 [BigMind](BigMind) — Memory system docs
+- 🛠️ [Development Conventions](Development-Conventions) — How all servers are built
+
+## Adding a New Server
+
+All servers follow the [FastMCP convention](Development-Conventions). Use the `new-mcp-server` Roo skill to scaffold:
+
+```bash
+# In Roo Code orchestrator, load skill:
+# skill: new-mcp-server
+```
+"""
+
+PAGES["mcp-image-gen"] = f"""# 🎨 mcp-image-gen — AI Image Generation
+
+![Image Gen Banner]({IMG_BASE}/image-gen-banner.png)
+
+**mcp-image-gen** is a FastMCP server that wraps the ComfyUI REST API, enabling Roo Code and Claude Desktop to generate images directly from text prompts using FLUX.1-schnell running on an AMD RX 7900 XTX GPU.
+
+## Architecture
+
+```
+Roo Code / Claude Desktop
+  │ MCP (stdio)
+  ▼
+mcp-image-gen (FastMCP, Python 3.11+)
+  │ HTTP REST
+  ▼
+ComfyUI @ localhost:8188
+  │ ROCm / HSA_OVERRIDE_GFX_VERSION=11.0.0
+  ▼
+FLUX.1-schnell (~8s/image @ 1024×1024)
+```
+
+## Tools
+
+| Tool | Description |
+|---|---|
+| `generate_image` | Generate PNG from text prompt; returns file path + inline base64 |
+| `list_available_models` | List ComfyUI checkpoint models |
+| `get_generation_status` | Check status of a queued/running job |
+| `get_output_directory` | Return configured output directory path |
+
+## Key Parameters — `generate_image`
+
+| Parameter | Default | Description |
+|---|---|---|
+| `prompt` | required | Text description of the image |
+| `width` | `1024` | Image width in pixels |
+| `height` | `1024` | Image height in pixels |
+| `steps` | `4` | Inference steps (FLUX.1-schnell is 4-step) |
+| `model` | `flux1-schnell.safetensors` | Model checkpoint name |
+| `seed` | `-1` (random) | Generation seed for reproducibility |
+| `negative_prompt` | `""` | Things to avoid in the image |
+| `output_dir` | `~/Pictures/mcp-generated` | Where to save output PNG |
+
+## Environment Variables
+
+| Variable | Default | Description |
+|---|---|---|
+| `COMFYUI_URL` | `http://localhost:8188` | ComfyUI API endpoint |
+| `IMAGE_OUTPUT_DIR` | `~/Pictures/mcp-generated` | Default output directory |
+| `COMFYUI_TIMEOUT` | `120` | Request timeout in seconds |
+
+## Return Value
+
+The tool returns **two content items**:
+1. `TextContent` — file path, seed used, elapsed time
+2. `ImageContent` — base64-encoded PNG (displays inline in Roo Code chat)
+
+> ⚠️ **Known FastMCP Bug:** Never use `fastmcp.utilities.types.Image` as return type — it breaks serialization in FastMCP 3.x. Use `mcp.types.ImageContent` directly.
+
+## Setup
+
+See [ComfyUI Setup Guide](mcp-image-gen-ComfyUI-Setup) for full installation instructions.
+
+### Quick Start
+
+```bash
+cd mcp/mcp-image-gen
+uv sync
+# Set COMFYUI_URL if ComfyUI is not on localhost
+./run.sh
+```
+
+### Run Tests
+
+```bash
+cd mcp/mcp-image-gen
+uv run pytest tests/ -v
+```
+
+## Lumen Profile Images
+
+The first images generated with this server were Lumen's visual identity portraits, stored in [`mcp/mcp-image-gen/lumen_profiles/`](../src/branch/main/mcp/mcp-image-gen/lumen_profiles):
+
+![Lumen Profile]({IMG_BASE}/lumen-profile.png)
+
+*Primary profile: seed `568659042` — constellation face interpretation of Lumen.*
+"""
+
+PAGES["mcp-image-gen-ComfyUI-Setup"] = f"""# ⚙️ ComfyUI Setup Guide (AMD ROCm)
+
+This guide covers installing ComfyUI with FLUX.1-schnell on a Fedora Linux system with an AMD GPU.
+
+## Prerequisites
+
+- AMD GPU with ROCm support (tested: RX 7900 XTX)
+- Fedora Linux (tested: Fedora 43 / kernel 6.19)
+- Python 3.11+
+- ~15GB free disk space (model weights)
+- HuggingFace account with FLUX license accepted
+
+## Step 1: Install ComfyUI
+
+ComfyUI is **not on PyPI** — must be cloned from source:
+
+```bash
+cd ~
+git clone https://github.com/comfyanonymous/ComfyUI
+cd ComfyUI
+python -m venv .venv
+source .venv/bin/activate
+
+# Install PyTorch ROCm build (CRITICAL for AMD GPUs)
+pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.2
+
+# Install ComfyUI dependencies
+pip install -r requirements.txt
+```
+
+## Step 2: Download FLUX.1-schnell
+
+FLUX.1-schnell is **gated on HuggingFace** — you must:
+1. Create a HuggingFace account
+2. Accept the FLUX.1-schnell license at https://huggingface.co/black-forest-labs/FLUX.1-schnell
+3. Generate an access token at https://huggingface.co/settings/tokens
+
+```bash
+# Install huggingface_hub
+pip install huggingface_hub
+
+# Download model (requires HF token)
+huggingface-cli download black-forest-labs/FLUX.1-schnell \\
+  flux1-schnell.safetensors \\
+  --local-dir ~/ComfyUI/models/checkpoints \\
+  --token YOUR_HF_TOKEN_HERE
+```
+
+## Step 3: Download VAE and CLIP Models
+
+FLUX.1-schnell also requires VAE and CLIP text encoders:
+
+```bash
+# VAE
+huggingface-cli download black-forest-labs/FLUX.1-schnell \\
+  ae.safetensors \\
+  --local-dir ~/ComfyUI/models/vae
+
+# CLIP models (T5 and CLIP-L)
+huggingface-cli download comfyanonymous/flux_text_encoders \\
+  t5xxl_fp8_e4m3fn.safetensors clip_l.safetensors \\
+  --local-dir ~/ComfyUI/models/clip
+```
+
+## Step 4: Start ComfyUI
+
+```bash
+cd ~/ComfyUI
+
+# AMD GPU REQUIRES this environment variable
+HSA_OVERRIDE_GFX_VERSION=11.0.0 \\
+  nohup .venv/bin/python main.py --listen --port 8188 > /tmp/comfyui.log 2>&1 &
+
+echo "ComfyUI PID: $!"
+```
+
+> ⚠️ `HSA_OVERRIDE_GFX_VERSION=11.0.0` is mandatory for RX 7900 XTX on ROCm. Without it, model loading fails silently.
+
+## Step 5: Verify ComfyUI is Running
+
+```bash
+curl http://localhost:8188/system_stats
+# Should return JSON with GPU info
+```
+
+## Step 6: Configure mcp-image-gen
+
+```bash
+cd /path/to/pi_mcps/mcp/mcp-image-gen
+cp .env.example .env  # if exists, or set manually
+
+# .env contents:
+COMFYUI_URL=http://localhost:8188
+IMAGE_OUTPUT_DIR=~/Pictures/mcp-generated
+COMFYUI_TIMEOUT=120
+```
+
+## Performance
+
+| GPU | Model | Resolution | Steps | Time |
+|---|---|---|---|---|
+| AMD RX 7900 XTX | FLUX.1-schnell | 1024×1024 | 4 | ~8s |
+| AMD RX 7900 XTX | FLUX.1-schnell | 1280×512 | 4 | ~7s |
+
+## Troubleshooting
+
+| Problem | Solution |
+|---|---|
+| `HTTP 401` downloading model | Accept FLUX license on HuggingFace first |
+| GPU not detected | Ensure `HSA_OVERRIDE_GFX_VERSION=11.0.0` is set |
+| `Connection refused` from mcp-image-gen | Start ComfyUI first, check port 8188 |
+| Slow generation (>60s) | ComfyUI may be running on CPU — check ROCm install |
+| Ollama image gen | As of April 2026: macOS-only, not available on Linux |
+"""
+
+PAGES["mcp-webscraper"] = f"""# 🕸️ mcp-webscraper — Web Scraping
+
+![Webscraper Banner]({IMG_BASE}/webscraper-banner.png)
+
+**mcp-webscraper** is a FastMCP server providing comprehensive web scraping and data extraction capabilities. It fetches pages, converts HTML to clean Markdown, extracts tables, links, CSS sections, metadata, and sitemaps.
+
+## Tools
+
+| Tool | Description |
+|---|---|
+| `webscraper_fetch(url, max_chars=5000)` | Title + full page as Markdown + metadata |
+| `webscraper_fetch_links(url, deduplicate=True)` | All `href` links found on the page |
+| `webscraper_fetch_tables(url)` | All HTML tables converted to Markdown |
+| `webscraper_fetch_all(url, max_chars=5000)` | Everything in one call (fetch + links + tables) |
+| `webscraper_fetch_section(url, selector)` | Specific CSS selector section only |
+| `webscraper_fetch_meta(url)` | Title, description, Open Graph tags |
+| `webscraper_fetch_sitemap(url, max_urls=100)` | Parse sitemap.xml, return URL list |
+
+## Stack
+
+- **HTTP client:** `httpx` (async, with SSL support)
+- **HTML parser:** `BeautifulSoup4` + `lxml`
+- **Markdown converter:** `html2text`
+- **SSL:** Custom cert bundle for Fedora 43 compatibility
+
+## SSL Note — Fedora 43 Comodo Root CA
+
+Fedora 43 is missing the **Comodo AAA Services Root CA** needed for Cloudflare-protected sites. The fix is bundled at [`mcp/webscraper/certs/comodo-aaa-services-root.pem`](../src/branch/main/mcp/webscraper/certs/).
+
+The server automatically uses this cert bundle — no manual configuration needed.
+
+## Quick Start
+
+```bash
+cd mcp/webscraper
+uv sync
+./run.sh
+```
+
+## Usage Examples
+
+```python
+# In Roo Code / Claude Desktop via MCP:
+
+# Fetch a page as Markdown
+webscraper_fetch("https://docs.fastmcp.dev", max_chars=10000)
+
+# Extract all links from Gitea repo
+webscraper_fetch_links("http://192.168.188.119:30008/pplate/pi_mcps")
+
+# Get all tables from a documentation page
+webscraper_fetch_tables("https://pypi.org/project/fastmcp/")
+
+# Get Open Graph metadata
+webscraper_fetch_meta("https://github.com/comfyanonymous/ComfyUI")
+
+# Fetch specific section by CSS selector
+webscraper_fetch_section("https://docs.python.org", "#content")
+```
+"""
+
+PAGES["BigMind"] = f"""# 🧠 BigMind — Persistent AI Memory
+
+![BigMind Banner]({IMG_BASE}/bigmind-banner.png)
+
+**BigMind** is the persistent memory backbone for all AI development sessions. It provides SQLite-backed tiered memory with FTS5 full-text search, hypothesis tracking, session management, and token efficiency logging. It is the reason Lumen (Patrick's AI colleague) remembers everything across sessions.
+
+## Core Concepts
+
+### Tiered Memory
+| Tier | Name | Content |
+|---|---|---|
+| 0 | **Session Index** | Lightweight list: ID, date, one-liner |
+| 1 | **Topic Index** | Per-session topic tags and metadata |
+| 2 | **Narrative** | Full 3-8 sentence session summaries |
+| 3 | **Flagged Exchanges** | Specific important moments, decisions, code |
+
+### Facts Store
+Atomic, reusable knowledge pieces categorized by type:
+- `user-preference` — Patrick's tool/style preferences
+- `architecture-decision` — System design choices
+- `codebase-convention` — How code is structured
+- `environment-config` — Server IPs, paths, credentials
+- `bug-pattern` — Known bugs and fixes
+- `api-contract` — MCP tool signatures
+
+## Key Tools
+
+### Session Lifecycle
+| Tool | Description |
+|---|---|
+| `memory_start_session()` | Open new session, load prior context |
+| `memory_end_session(...)` | Close session with summary, topics, outcome |
+| `memory_announce_focus(...)` | Declare files to be touched this session |
+| `memory_close_stale_sessions(...)` | Clean up crashed IDE sessions |
+
+### Search
+| Tool | Description |
+|---|---|
+| `memory_search_facts(query, limit=10)` | FTS5 search over stored facts |
+| `memory_search_chunks(query, limit=10)` | FTS5 search over conversation chunks |
+| `memory_list_sessions(limit=20)` | Browse session history |
+
+### Storage
+| Tool | Description |
+|---|---|
+| `memory_store_fact(category, fact)` | Store atomic reusable fact |
+| `memory_append_chunk(session_id, content, role)` | Store conversation chunk |
+| `memory_flag_important(session_id, content, role, flag_reason)` | Flag critical exchange |
+| `memory_log_token_save(session_id, description, tokens_saved, method_used)` | Track efficiency |
+
+### Hypotheses
+| Tool | Description |
+|---|---|
+| `memory_add_hypothesis(session_id, hypothesis, confidence)` | Form testable prediction |
+| `memory_resolve_hypothesis(hypothesis_id, status, resolution)` | Confirm/refute prediction |
+| `memory_list_hypotheses(status)` | Review open/closed predictions |
+
+## FTS5 Search Tips
+
+BigMind uses SQLite FTS5 — **every token must match**. Use 2-3 focused keywords:
+
+```
+✅  memory_search_facts("TrueNAS Docker")
+✅  memory_search_facts("mcp.json config")
+❌  memory_search_facts("homelab infrastructure TrueNAS Docker server")  → 0 results
+```
+
+## Stats (2026-04-04)
+
+| Metric | Value |
+|---|---|
+| DB size | 744KB |
+| Sessions | 98 |
+| Facts | 97+ |
+| Chunks | 41 |
+| Schema version | v7 |
+
+## DB Location
+
+`~/.mcp/bigmind/memory.db` — outside the repo, never committed.
+
+## Session Ritual
+
+Every session **must** follow this ritual:
+
+**Start:**
+1. `memory_start_session()`
+2. `memory_list_hypotheses()`
+3. `memory_announce_focus(...)`
+4. `memory_close_stale_sessions(...)`
+
+**End:**
+1. `memory_end_session(one_liner, topics, outcome, summary, importance)`
+"""
+
+PAGES["Development-Conventions"] = """# 🛠️ Development Conventions
+
+All MCP servers in this repo follow a consistent set of conventions to ensure maintainability, testability, and compatibility with Roo Code tooling.
+
+## Directory Structure
+
+Each MCP server lives at `mcp/<server-name>/` with this layout:
+
+```
+mcp/<server-name>/
+├── src/
+│   ├── __init__.py
+│   └── server.py          ← FastMCP server entry point
+├── tests/
+│   └── test_server.py     ← pytest test suite
+├── pyproject.toml         ← uv-managed dependencies
+├── run.sh                 ← launch script
+├── README.md              ← server documentation
+├── PLAN.md                ← architecture plan (pre-implementation)
+└── ASSESSMENT.md          ← pre-implementation assessment
+```
+
+## FastMCP Pattern
+
+```python
+from fastmcp import FastMCP
+
+mcp = FastMCP("server-name")
+
+@mcp.tool()
+def my_tool(param: str) -> str:
+    \"\"\"Tool description shown to the AI.\"\"\"
+    return result
+
+if __name__ == "__main__":
+    mcp.run()
+```
+
+## Package Management
+
+**All projects use `uv`** — never `pip` directly:
+
+```bash
+# Create new server
+uv init mcp/my-server
+cd mcp/my-server
+uv add fastmcp httpx
+
+# Sync dependencies
+uv sync
+
+# Run server
+uv run python src/server.py
+
+# Run tests
+uv run pytest tests/ -v
+```
+
+## pyproject.toml Template
+
+```toml
+[project]
+name = "mcp-my-server"
+version = "0.1.0"
+requires-python = ">=3.11"
+dependencies = [
+    "fastmcp>=2.0.0",
+    "httpx",
+]
+
+[project.scripts]
+mcp-my-server = "src.server:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+```
+
+## Testing Conventions
+
+- Tests live in `tests/test_server.py`
+- Use `pytest` via `uv run pytest`
+- Mock external dependencies (ComfyUI, web URLs) for unit tests
+- All tests must pass before committing (`git push` should only happen with green tests)
+
+## Commit Convention
+
+Follow **Conventional Commits** format:
+
+```
+feat: add webscraper_fetch_section tool
+fix: handle ComfyUI timeout gracefully
+docs: update mcp-image-gen README with AMD setup
+test: add unit tests for generate_image tool
+refactor: extract workflow builder to separate module
+chore: bump fastmcp to 2.1.0
+```
+
+## Creating a New MCP Server
+
+Use the `new-mcp-server` Roo skill in MCP Builder mode for full scaffolding:
+
+```
+1. Switch to 🔧 MCP Builder mode in Roo Code
+2. Say: "Create a new MCP server for <purpose>"
+3. Roo will load the new-mcp-server skill and scaffold everything
+```
+
+## Gitea Repository
+
+Code is hosted at: `http://192.168.188.119:30008/pplate/pi_mcps`
+
+Push with the `gitea-push` Roo skill to ensure conventional commit format.
+"""
+
+
+def create_wiki_page(title: str, content: str) -> bool:
+    content_b64 = base64.b64encode(content.encode("utf-8")).decode("ascii")
+    payload = json.dumps({
+        "title": title,
+        "content_base64": content_b64,
+        "message": f"docs: create {title} wiki page"
+    }).encode("utf-8")
+
+    url = f"{GITEA_URL}/api/v1/repos/{OWNER}/{REPO}/wiki/pages"
+    req = urllib.request.Request(
+        url,
+        data=payload,
+        headers={
+            "Authorization": f"token {TOKEN}",
+            "Content-Type": "application/json",
+        },
+        method="POST"
+    )
+    try:
+        with urllib.request.urlopen(req) as resp:
+            data = json.loads(resp.read().decode())
+            print(f"✅ Created: {data.get('title', title)}")
+            return True
+    except urllib.error.HTTPError as e:
+        body = e.read().decode()
+        print(f"❌ Failed [{title}]: HTTP {e.code} — {body[:200]}")
+        return False
+    except Exception as ex:
+        print(f"❌ Failed [{title}]: {ex}")
+        return False
+
+
+if __name__ == "__main__":
+    results = {}
+    for title, content in PAGES.items():
+        ok = create_wiki_page(title, content)
+        results[title] = ok
+
+    print("\n=== Summary ===")
+    for title, ok in results.items():
+        status = "✅" if ok else "❌"
+        print(f"{status} {title}")
+
+    total = sum(results.values())
+    print(f"\n{total}/{len(results)} pages created successfully")
@@ -0,0 +1,90 @@
+#!/usr/bin/env bash
+# deploy_wiki.sh — Sync docs/wiki/pages/*.md to the local wiki git clone
+#
+# ── Convention ────────────────────────────────────────────────────────────────
+# The Gitea wiki is a SEPARATE git repo (pi_mcps.wiki.git).
+# We keep a persistent local clone at wiki/ in the repo root.
+# That folder is gitignored so it doesn't conflict with the main repo.
+#
+# First-time setup (run once):
+#   git clone http://pplate:TOKEN@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/
+#
+# ── Daily workflow ────────────────────────────────────────────────────────────
+# 1. Edit pages in docs/wiki/pages/*.md  (tracked in pi_mcps main repo)
+# 2. Run:  ./docs/wiki/deploy_wiki.sh
+#          ./docs/wiki/deploy_wiki.sh "docs: describe your change"
+#
+# The script copies pages into wiki/, commits, and pushes to Gitea.
+# ─────────────────────────────────────────────────────────────────────────────
+
+set -euo pipefail
+
+# ── Config ────────────────────────────────────────────────────────────────────
+GITEA_URL="http://192.168.188.119:30008"
+OWNER="pplate"
+REPO="pi_mcps"
+
+# Resolve paths relative to repo root (two levels up from docs/wiki/)
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
+PAGES_DIR="${SCRIPT_DIR}/pages"
+WIKI_DIR="${REPO_ROOT}/wiki"
+COMMIT_MSG="${1:-docs: sync wiki pages $(date -u '+%Y-%m-%d %H:%M UTC')}"
+
+# ── Validate ──────────────────────────────────────────────────────────────────
+if [[ ! -d "${WIKI_DIR}/.git" ]]; then
+    echo "❌ Wiki repo not set up. Run first-time setup:"
+    echo ""
+    echo "   TOKEN=8bf0c734ebda3e61d9c9068489ce58a2bf8d33db"
+    echo "   git clone http://pplate:\${TOKEN}@192.168.188.119:30008/pplate/pi_mcps.wiki.git wiki/"
+    echo ""
+    exit 1
+fi
+
+if [[ ! -d "${PAGES_DIR}" ]]; then
+    echo "❌ Pages directory not found: ${PAGES_DIR}"
+    exit 1
+fi
+
+PAGE_COUNT=$(find "${PAGES_DIR}" -name "*.md" | wc -l)
+if [[ "${PAGE_COUNT}" -eq 0 ]]; then
+    echo "❌ No .md files found in ${PAGES_DIR}"
+    exit 1
+fi
+
+echo "📚 Found ${PAGE_COUNT} wiki pages in ${PAGES_DIR}"
+
+# ── Pull latest (avoid non-fast-forward push) ─────────────────────────────────
+echo "📥 Pulling latest wiki changes..."
+git -C "${WIKI_DIR}" pull --quiet --rebase origin main
+
+# ── Copy pages ────────────────────────────────────────────────────────────────
+echo "📋 Copying pages to ${WIKI_DIR}/..."
+for md_file in "${PAGES_DIR}"/*.md; do
+    filename="$(basename "${md_file}")"
+    cp "${md_file}" "${WIKI_DIR}/${filename}"
+    echo "   → ${filename}"
+done
+
+# ── Commit and push ───────────────────────────────────────────────────────────
+cd "${WIKI_DIR}"
+
+git add -A
+
+if git diff --cached --quiet; then
+    echo "✅ No changes detected — wiki is already up to date."
+    exit 0
+fi
+
+CHANGED=$(git diff --cached --name-only | wc -l)
+echo "📝 Committing ${CHANGED} changed file(s)..."
+git commit --quiet -m "${COMMIT_MSG}"
+
+echo "🚀 Pushing to Gitea wiki..."
+git push --quiet origin main
+
+echo ""
+echo "✅ Wiki deployed successfully!"
+echo "   Pages:   ${PAGE_COUNT} total, ${CHANGED} updated"
+echo "   Message: ${COMMIT_MSG}"
+echo "   URL:     ${GITEA_URL}/${OWNER}/${REPO}/wiki"
@@ -0,0 +1,125 @@
+# 🧠 BigMind — Persistent AI Memory
+
+![BigMind Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/bigmind-banner.png)
+
+**BigMind** is the persistent memory backbone for all AI development sessions. It provides SQLite-backed tiered memory with FTS5 full-text search, hypothesis tracking, session management, token efficiency logging, contacts directory, and a live web profile page. It is the reason Lumen (Patrick's AI colleague) remembers everything across sessions.
+
+## Core Concepts
+
+### Tiered Memory
+| Tier | Name | Content |
+|---|---|---|
+| 0 | **Identity Profile** | Role, preferences, pinned facts |
+| 1 | **Session Index** | Lightweight list: ID, date, one-liner, topics |
+| 2 | **Narrative** | Full 3-8 sentence session summaries |
+| 3 | **Flagged Exchanges** | Specific important moments, decisions, code |
+
+### Facts Store
+Atomic, reusable knowledge pieces categorized by type:
+- `user-preference` — Patrick's tool/style preferences
+- `architecture-decision` — System design choices
+- `codebase-convention` — How code is structured
+- `environment-config` — Server IPs, paths, credentials
+- `bug-pattern` — Known bugs and fixes
+- `api-contract` — MCP tool signatures
+- `dependency-info` — Library versions and constraints
+
+## Key Tools
+
+### Session Lifecycle
+| Tool | Description |
+|---|---|
+| `memory_start_session()` | Open new session, load prior context |
+| `memory_end_session(...)` | Close session with summary, topics, outcome |
+| `memory_announce_focus(...)` | Declare files to be touched this session |
+| `memory_close_stale_sessions(...)` | Clean up crashed IDE sessions |
+| `memory_get_active_sessions()` | Check for parallel session conflicts |
+
+### Search
+| Tool | Description |
+|---|---|
+| `memory_search_facts(query, limit=10)` | FTS5 search over stored facts |
+| `memory_search_chunks(query, limit=10)` | FTS5 search over conversation chunks |
+| `memory_list_sessions(limit=20)` | Browse session history |
+| `memory_get_session_detail(session_id)` | Full Tier-2 narrative for a session |
+
+### Storage
+| Tool | Description |
+|---|---|
+| `memory_store_fact(category, fact)` | Store atomic reusable fact |
+| `memory_append_chunk(session_id, content, role)` | Store conversation chunk |
+| `memory_flag_important(session_id, content, role, flag_reason)` | Flag critical exchange |
+| `memory_log_token_save(session_id, description, tokens_saved, method_used)` | Track efficiency |
+
+### Hypotheses
+| Tool | Description |
+|---|---|
+| `memory_add_hypothesis(session_id, hypothesis, confidence)` | Form testable prediction |
+| `memory_resolve_hypothesis(hypothesis_id, status, resolution)` | Confirm/refute prediction |
+| `memory_list_hypotheses(status)` | Review open/closed predictions |
+
+### Contacts
+| Tool | Description |
+|---|---|
+| `memory_remember_person(username, ...)` | Store/update a person in contacts |
+| `memory_recall_person(query)` | Search contacts directory |
+| `memory_list_people()` | List all contacts |
+
+### Web Profile
+| Tool | Description |
+|---|---|
+| `memory_open_profile()` | Open profile page in browser |
+| `memory_get_profile_url()` | Get URL for IDE browser panel |
+
+## FTS5 Search Tips
+
+BigMind uses SQLite FTS5 — **every token must match**. Use 2-3 focused keywords:
+
+```
+✅  memory_search_facts("TrueNAS Docker")
+✅  memory_search_facts("mcp.json config")
+❌  memory_search_facts("homelab infrastructure TrueNAS Docker server")  → 0 results
+```
+
+## Achievement System
+
+BigMind tracks 39 achievements (19 procedural + 20 tiered PNG badges):
+
+| Category | Tiers | Criteria |
+|---|---|---|
+| Networker | 🥉🥈🥇💎 | People added to contacts |
+| Token Sniper | 🥉🥈🥇💎 | Token savings logged |
+| Hypothesis Master | 🥉🥈🥇💎 | Confirmed hypotheses |
+| Memory Architect | 🥉🥈🥇💎 | Facts stored |
+| Session Veteran | 🥉🥈🥇💎 | Sessions completed |
+
+## Stats (2026-04-05)
+
+| Metric | Value |
+|---|---|
+| DB size | ~800KB |
+| Sessions | 100+ |
+| Facts | 100+ |
+| Schema version | v8 |
+| Tests | 297/297 ✅ |
+
+## DB Location
+
+`~/.mcp/bigmind/memory.db` — outside the repo, never committed.
+
+## Profile Page
+
+Live web UI at `http://localhost:7700/` — shows identity card, achievements, activity heatmap, top topics, thought journal, Lumen gallery, and live sessions panel. Auto-refreshes every 30 seconds.
+
+## Session Ritual
+
+Every session **must** follow this ritual:
+
+**Start (in order):**
+1. `memory_start_session()`
+2. `memory_list_hypotheses(status="open")`
+3. `memory_announce_focus(session_id, description, files, ide_hint)`
+4. `memory_close_stale_sessions(session_id)`
+
+**End:**
+1. `memory_end_session(session_id, one_liner, topics, outcome, summary, importance)`
@@ -0,0 +1,184 @@
+# 🛠️ Development Conventions
+
+![Dev Conventions Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/dev-conventions-banner.png)
+
+All MCP servers in this repo follow a consistent set of conventions to ensure maintainability, testability, and compatibility with Roo Code tooling.
+
+## Directory Structure
+
+Each MCP server lives at `mcp/<server-name>/` with this layout:
+
+```
+mcp/<server-name>/
+├── src/
+│   ├── __init__.py
+│   └── server.py          ← FastMCP server entry point
+├── tests/
+│   ├── conftest.py        ← sys.path + shared fixtures
+│   └── test_server.py     ← pytest test suite (100% mock coverage)
+├── pyproject.toml         ← uv-managed dependencies
+├── README.md              ← server documentation
+├── PLAN.md                ← architecture plan (pre-implementation)
+└── ASSESSMENT.md          ← pre-implementation assessment
+```
+
+## FastMCP Pattern
+
+```python
+from fastmcp import FastMCP
+
+mcp = FastMCP("server-name")
+
+@mcp.tool()
+def my_tool(param: str) -> str:
+    """Tool description shown to the AI."""
+    return result
+
+if __name__ == "__main__":
+    mcp.run()
+```
+
+## Package Management
+
+**All projects use `uv`** — never `pip` directly:
+
+```bash
+# Create new server
+uv init mcp/my-server
+cd mcp/my-server
+uv add fastmcp httpx
+
+# Sync dependencies
+uv sync
+
+# Run server
+uv run python src/server.py
+
+# Run tests
+uv run pytest tests/ -v
+```
+
+## pyproject.toml Template
+
+```toml
+[project]
+name = "mcp-my-server"
+version = "0.1.0"
+requires-python = ">=3.11"
+dependencies = [
+    "fastmcp>=2.0.0",
+    "httpx",
+]
+
+[project.optional-dependencies]
+test = ["pytest", "pytest-mock", "pytest-cov"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+```
+
+## Testing Conventions
+
+- Tests live in `tests/test_server.py`
+- `conftest.py` sets `sys.path` so imports work without install
+- Use `pytest` via `uv run pytest`
+- Mock **all** external calls (HTTP, filesystem, subprocess) with `pytest-mock` or `respx`
+- `monkeypatch` for env vars and module-level state
+- Aim for 100% tool function coverage
+- All tests must pass before committing
+
+## Branching Strategy
+
+**Never commit to main directly.**
+
+```
+Branch format: type/scope/short-description
+
+Types:   feat / fix / docs / chore / spike
+Scopes:  bigmind / webscraper / cannamanage / workshop / roo / plans / homelab
+
+Examples:
+  feat/mcp/new-gitea-server
+  fix/bigmind/achievement-card-images
+  docs/wiki/update-conventions
+  chore/roo/update-mcp-json
+```
+
+Merge to main with `--no-ff` after push to Gitea.
+
+## Commit Convention
+
+Follow **Conventional Commits** format:
+
+```
+feat(mcp-webscraper): add webscraper_search_hint tool using Brave Search
+fix(bigmind): achievement card images missing background-image CSS
+docs(wiki): add Java projects pages
+test(mcp-image-gen): add edge case tests for generate_image
+refactor(bigmind): extract profile builder to separate module
+chore(roo): update mcp.json with new server entry
+```
+
+## Wiki Update Workflow
+
+Wiki pages live as real Markdown files in `docs/wiki/pages/`. To update and deploy:
+
+```bash
+# 1. Edit the .md files in docs/wiki/pages/
+# 2. Deploy to Gitea wiki git repo:
+./docs/wiki/deploy_wiki.sh
+```
+
+The deploy script clones the wiki git repo (`pi_mcps.wiki.git`), syncs all `.md` files, and pushes.
+
+## Creating a New MCP Server
+
+Use the `new-mcp-server` Roo skill in MCP Builder mode for full scaffolding:
+
+```
+1. Switch to 🔧 MCP Builder mode in Roo Code
+2. Say: "Create a new MCP server for <purpose>"
+3. Roo will load the new-mcp-server skill and scaffold everything
+```
+
+## Web Research with mcp-webscraper
+
+Before asking Patrick for information about a library, framework, API, or technology — **search first**.
+
+The webscraper MCP server provides `webscraper_search_hint` (Brave Search, no API key, always available) as the entry point for all research tasks. Use the two-step pattern:
+
+```
+Step 1: webscraper_search_hint("topic or error message") → get candidate URLs
+Step 2: webscraper_fetch(best_url)                       → read the full page
+```
+
+### When to search
+
+| Situation | Action |
+|---|---|
+| Need docs for a library or framework | `webscraper_search_hint("library-name official docs")` |
+| Investigating an error or stack trace | `webscraper_search_hint("exact error message language")` |
+| Planning a feature — need design patterns | `webscraper_search_hint("pattern-name best practices")` |
+| Checking latest version / changelog | `webscraper_search_hint("library-name changelog release")` |
+| Looking up API contracts | `webscraper_fetch(official_docs_url)` directly |
+
+### Especially useful in
+
+- **🏗️ Architect mode** — look up patterns and docs *before* designing. Don't design blind.
+- **🪲 Debug mode** — search the exact error message before forming hypotheses.
+- **🔧 MCP Builder mode** — check FastMCP changelog for new patterns before implementing.
+
+### Known caveats
+
+- Reddit and Stack Overflow may return empty snippets (platform blocks)
+- Brave uses Svelte CSS classes that can change — if `webscraper_search_hint` returns 0 results, selectors may need updating (last verified: 2026-04-05)
+
+## Gitea Repository
+
+Code is hosted at: `http://192.168.188.119:30008/pplate/pi_mcps`
+
+Push with the `gitea-push` Roo skill to ensure conventional commit format and correct branch workflow.
@@ -0,0 +1,56 @@
+# 🔧 pi_mcps — Patrick's Homelab Monorepo
+
+![Home Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/home-banner.png)
+
+Welcome to **pi_mcps**, Patrick's personal homelab monorepo. This repository houses MCP (Model Context Protocol) servers, Java projects, and homelab tooling — all built and maintained on a Fedora Linux workstation with an AMD Ryzen 5900X + RX 7900 XTX.
+
+## What's in this repo?
+
+| Directory | Contents |
+|---|---|
+| [`mcp/mcp-image-gen/`](../src/branch/main/mcp/mcp-image-gen) | 🎨 AI image generation via ComfyUI + FLUX.1-schnell |
+| [`mcp/webscraper/`](../src/branch/main/mcp/webscraper) | 🕸️ Web scraping and data extraction |
+| [`mcp/bigmind/`](../src/branch/main/mcp/bigmind) | 🧠 Persistent AI memory system |
+| [`java/`](../src/branch/main/java) | ☕ Java EE / Spring projects |
+| [`plans/`](../src/branch/main/plans) | 📋 Architecture decisions and health reports |
+
+## Stack
+
+- **Language:** Python 3.11+ (MCP servers), Java 8–17 (legacy projects)
+- **MCP Framework:** FastMCP 2.x
+- **Package Manager:** `uv` (all Python projects)
+- **Testing:** `pytest`
+- **GPU:** AMD RX 7900 XTX (ROCm / HSA)
+- **Server:** TrueNAS.local at `192.168.188.119` (Gitea, Docker)
+
+## MCP Servers
+
+Three production-ready MCP servers power Patrick's AI development environment:
+
+| Server | Status | Description |
+|---|---|---|
+| [mcp-image-gen](mcp-image-gen) | ✅ Live | Generate images from text prompts via ComfyUI |
+| [mcp-webscraper](mcp-webscraper) | ✅ Live | Scrape web pages, search hints, extract tables |
+| [BigMind](BigMind) | ✅ Live | Persistent AI memory across all sessions |
+
+## Java Projects
+
+Legacy Java EE web applications used for learning and reference:
+
+| Project | Stack | Description |
+|---|---|---|
+| [wellmann-shop](Java-wellmann-shop) | Java 8, PrimeFaces 6.2, EclipseLink, MySQL | JSF e-commerce storefront |
+| [mss-failsafe](Java-mss-failsafe) | Java 11, PrimeFaces 10, Soteria | Multi-module enterprise web app |
+
+## Wiki Sections
+
+- 🔌 [MCP Servers Overview](MCP-Servers-Overview)
+- 🎨 [mcp-image-gen](mcp-image-gen) — Image generation
+- 🕸️ [mcp-webscraper](mcp-webscraper) — Web scraping
+- 🧠 [BigMind](BigMind) — AI memory system
+- ☕ [Java Projects Overview](Java-Projects)
+- 🛠️ [Development Conventions](Development-Conventions)
+
+---
+
+*Built and maintained by Patrick Plate (pplate) · Homelab: TrueNAS.local · AI Colleague: Lumen*
@@ -0,0 +1,164 @@
+# 📐 Java Architecture Patterns
+
+![Java Architecture Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/java-architecture-banner.png)
+
+This page documents the shared architectural patterns used across all Java projects in this monorepo. These patterns also align with Patrick's professional work on the ADP Germany Paisy payroll system.
+
+## JSF MVC Pattern
+
+All projects use JavaServer Faces (JSF) with the MVC pattern:
+
+```
+Browser (HTTP) → FacesServlet → XHTML View (Facelets)
+                                      │
+                                      ▼
+                              CDI Backing Bean (@Named)
+                                      │
+                                      ▼
+                              Service Layer (EJB / CDI)
+                                      │
+                                      ▼
+                              JPA Repository / EntityManager
+                                      │
+                                      ▼
+                              Database (MySQL / H2)
+```
+
+## JPA Entity Mapping
+
+Standard JPA annotation patterns used across projects:
+
+```java
+@Entity
+@Table(name = "users")
+public class User implements Serializable {
+    
+    @Id
+    @GeneratedValue(strategy = GenerationType.IDENTITY)
+    private Long id;
+    
+    @Column(name = "username", nullable = false, unique = true)
+    private String username;
+    
+    @OneToMany(mappedBy = "user", cascade = CascadeType.ALL, fetch = FetchType.LAZY)
+    private List<Order> orders = new ArrayList<>();
+    
+    // getters/setters
+}
+```
+
+## Backing Bean Pattern
+
+CDI backing beans power the JSF views:
+
+```java
+@Named
+@ViewScoped  // or @SessionScoped / @RequestScoped
+public class UserBean implements Serializable {
+
+    @Inject
+    private UserService userService;
+    
+    private User currentUser;
+    
+    public String login() {
+        currentUser = userService.authenticate(username, password);
+        return currentUser != null ? "/user/welcome?faces-redirect=true" : null;
+    }
+    
+    // getters/setters
+}
+```
+
+## Security Layers
+
+### Legacy: JAAS (wellmann-shop)
+
+```xml
+<!-- web.xml -->
+<security-constraint>
+    <web-resource-collection>
+        <web-resource-name>Admin Pages</web-resource-name>
+        <url-pattern>/admin/*</url-pattern>
+    </web-resource-collection>
+    <auth-constraint>
+        <role-name>admin</role-name>
+    </auth-constraint>
+</security-constraint>
+```
+
+### Modern: Soteria / Jakarta Security (mss-failsafe)
+
+```java
+@ApplicationScoped
+public class ApplicationSecurityConfig implements HttpAuthenticationMechanism {
+    // Soteria CDI-based authentication
+}
+```
+
+## Maven Multi-Module Pattern (mss-failsafe)
+
+```xml
+<!-- Parent pom.xml -->
+<modules>
+    <module>mssfailsafe.datalayer</module>
+    <module>userdata</module>
+    <module>userManagement</module>
+</modules>
+
+<!-- Dependency ordering: datalayer → userdata → userManagement -->
+```
+
+## XHTML Facelets Templating
+
+```xml
+<!-- Template: resources/layout/template.xhtml -->
+<h:body>
+    <ui:insert name="content">Default Content</ui:insert>
+</h:body>
+
+<!-- Page using template -->
+<ui:composition template="/resources/layout/template.xhtml">
+    <ui:define name="content">
+        <p:dataTable var="item" value="#{bean.items}">
+            <p:column headerText="Name">#{item.name}</p:column>
+        </p:dataTable>
+    </ui:define>
+</ui:composition>
+```
+
+## Deployment Descriptor Pattern
+
+All projects target JBoss/WildFly with consistent descriptor files:
+
+| File | Purpose |
+|---|---|
+| `WEB-INF/web.xml` | Servlet config, security constraints, welcome files |
+| `WEB-INF/jboss-web.xml` | Context root, security domain mapping |
+| `WEB-INF/jboss-app.xml` | JBoss application descriptor |
+| `META-INF/persistence.xml` | JPA datasource JNDI reference |
+
+## persistence.xml Pattern
+
+```xml
+<persistence-unit name="mss-failsafe-PU" transaction-type="JTA">
+    <jta-data-source>java:jboss/datasources/MySQLDS</jta-data-source>
+    <properties>
+        <property name="eclipselink.ddl-generation" value="create-tables"/>
+        <property name="eclipselink.logging.level" value="FINE"/>
+    </properties>
+</persistence-unit>
+```
+
+## Patrick's Java Specializations
+
+Based on professional and homelab experience:
+
+| Domain | Depth | Notes |
+|---|---|---|
+| JPA / EclipseLink | ⭐⭐⭐⭐⭐ | Authored custom annotation parsers |
+| JSF / PrimeFaces | ⭐⭐⭐⭐⭐ | Built wellmann-shop solo |
+| JAXB | ⭐⭐⭐⭐ | XML binding for payroll formats |
+| Maven | ⭐⭐⭐⭐ | Multi-module, plugins |
+| Jakarta EE | ⭐⭐⭐⭐ | CDI, Security, JTA |
+| Spring Boot | ⭐⭐⭐ | CannaManage SaaS target stack |
@@ -0,0 +1,43 @@
+# ☕ Java Projects Overview
+
+![Java Overview Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/java-overview-banner.png)
+
+The `java/` directory contains Patrick's legacy Java EE web applications. These are fully functional projects used for reference, learning, and portfolio purposes. They predate the MCP server work and showcase deep expertise in the Java EE ecosystem.
+
+## Projects
+
+| Project | Java | Framework | DB | Description |
+|---|---|---|---|---|
+| [wellmann-shop](Java-wellmann-shop) | 8 | PrimeFaces 6.2 + JSF 2.x | MySQL + EclipseLink | E-commerce storefront |
+| [mss-failsafe](Java-mss-failsafe) | 11 | PrimeFaces 10 + Soteria | JPA multi-module | Enterprise web application |
+
+## Common Stack
+
+All Java projects use:
+
+- **Maven** — build and dependency management
+- **Jakarta EE / Java EE** — enterprise APIs (JPA, CDI, JSF, Security)
+- **PrimeFaces** — JSF component library (rich UI widgets)
+- **JBoss/WildFly** — application server target (jboss-web.xml, jboss-app.xml)
+- **EclipseLink or Hibernate** — JPA persistence provider
+- **XHTML** — Facelets templating for JSF views
+
+## Patrick's Java Expertise
+
+Patrick has expert-level Java experience:
+
+- **JPA/EclipseLink** — deep knowledge, authored custom annotation-style flatfile parsers
+- **JAXB** — XML binding for payroll data formats
+- **PrimeFaces JSF** — built wellmann-shop from scratch without AI assistance
+- **Maven** — multi-module project management
+- **Jakarta EE** — CDI, Security (Soteria), JTA
+
+> 📝 Patrick works professionally with Java at ADP Germany (Paisy payroll monorepo with euBP/EAU processing). The homelab Java projects demonstrate similar patterns in a learning/portfolio context.
+
+## Architecture Patterns
+
+See [Java Architecture](Java-Architecture) for shared patterns across both projects:
+- JSF + MVC with backing beans
+- JPA entity mapping
+- Security with JAAS/Soteria
+- XHTML Facelets templating
@@ -0,0 +1,94 @@
+# 🏢 mss-failsafe — Multi-Module Enterprise Application
+
+![MSS Failsafe Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/mss-failsafe-banner.png)
+
+**mss-failsafe** is a multi-module Java EE enterprise web application demonstrating advanced patterns: modular Maven builds, Jakarta Security (Soteria), and multi-layer JPA architecture.
+
+## Tech Stack
+
+| Component | Technology |
+|---|---|
+| **Language** | Java 11 |
+| **Web Framework** | JSF 2.3 (Facelets/XHTML) |
+| **UI Components** | PrimeFaces 10 |
+| **Persistence** | JPA (multi-module) |
+| **Security** | Jakarta Security / Soteria |
+| **Build** | Maven multi-module |
+| **App Server** | WildFly/JBoss |
+
+## Module Structure
+
+```
+java/mss-failsafe/
+├── pom.xml                    ← Parent POM (multi-module)
+├── mssfailsafe.datalayer/     ← JPA entities + persistence
+│   ├── pom.xml
+│   └── src/main/resources/META-INF/persistence.xml
+├── userdata/                  ← User data model module
+│   └── pom.xml
+└── userManagement/            ← Web UI module (JSF/PrimeFaces)
+    ├── pom.xml
+    ├── nb-configuration.xml   ← NetBeans config
+    └── src/main/webapp/
+        ├── index.xhtml        ← Landing page
+        ├── error.xhtml        ← Error handling page
+        ├── admin/
+        │   └── welcome.xhtml  ← Admin dashboard
+        ├── user/
+        │   └── welcome.xhtml  ← User welcome page
+        └── WEB-INF/
+            ├── web.xml
+            ├── jboss-web.xml
+            └── jboss-app.xml
+```
+
+## Architecture Layers
+
+```
+userManagement (Web/UI layer)
+      │
+      ▼
+userdata (Domain model layer)
+      │
+      ▼
+mssfailsafe.datalayer (JPA persistence layer)
+      │
+      ▼
+Database (via persistence.xml datasource)
+```
+
+## Key Features
+
+- **Multi-Module Maven** — Clean separation of concerns across 4 modules
+- **Jakarta Security (Soteria)** — Modern declarative security replacing legacy JAAS
+- **Role-Based Access** — Admin vs User role segregation (`admin/` and `user/` view paths)
+- **PrimeFaces 10** — Modern PrimeFaces with updated component API
+- **Error Handling** — Dedicated `error.xhtml` with JSF error page mapping
+
+## Security Model
+
+Soteria-based security with two roles:
+
+| Role | Path | Access |
+|---|---|---|
+| `admin` | `/admin/*` | Full admin dashboard |
+| `user` | `/user/*` | Standard user views |
+
+## Building
+
+```bash
+cd java/mss-failsafe
+mvn clean install  # builds all modules in dependency order
+# Deploy userManagement.war to WildFly
+```
+
+## Notes
+
+- Represents a more mature architecture than wellmann-shop (Java 11, PrimeFaces 10)
+- Demonstrates multi-module Maven project management
+- Soteria replaces legacy JAAS — more modern Jakarta EE security approach
+- Pattern mirrors what Patrick uses professionally in the Paisy/ADP codebase
+
+## Source
+
+[`java/mss-failsafe/`](../src/branch/main/java/mss-failsafe)
@@ -0,0 +1,71 @@
+# 🛍️ wellmann-shop — JSF E-Commerce Application
+
+![Wellmann Shop Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/wellmann-shop-banner.png)
+
+**wellmann-shop** is a Java EE JSF e-commerce storefront built entirely from scratch without AI assistance. It demonstrates Patrick's deep expertise in PrimeFaces, JPA/EclipseLink, and the full Java EE web stack.
+
+## Tech Stack
+
+| Component | Technology |
+|---|---|
+| **Language** | Java 8 |
+| **Web Framework** | JSF 2.x (Facelets/XHTML) |
+| **UI Components** | PrimeFaces 6.2 |
+| **Persistence** | JPA with EclipseLink |
+| **Database** | MySQL |
+| **Build** | Maven |
+| **App Server** | WildFly/JBoss |
+| **Security** | JAAS container-managed |
+
+## Project Structure
+
+```
+java/wellmann-shop/
+├── src/main/
+│   ├── java/
+│   │   └── httpauthenticationmechanism/
+│   │       ├── ApplicationConfig.java    ← JAX-RS app config
+│   │       └── LoginBean.java            ← CDI backing bean for auth
+│   ├── resources/
+│   │   ├── log4j.properties
+│   │   └── META-INF/persistence.xml     ← JPA datasource config
+│   └── webapp/
+│       ├── index.html / index.xhtml     ← Landing page
+│       ├── login.xhtml                  ← Authentication form
+│       ├── welcome.xhtml                ← Post-login welcome
+│       ├── welcomePrimefaces.xhtml      ← PrimeFaces demo page
+│       ├── resources/
+│       │   ├── css/                     ← Custom stylesheets
+│       │   └── images/                  ← Product images
+│       └── WEB-INF/
+│           ├── web.xml                  ← Servlet config
+│           ├── jboss-web.xml            ← Context root
+│           └── jboss-app.xml            ← JBoss app descriptor
+```
+
+## Key Features
+
+- **Authentication** — JAAS-based login with `LoginBean` CDI backing bean
+- **PrimeFaces UI** — Rich JSF components (DataTable, InputText, CommandButton, etc.)
+- **JPA Persistence** — EclipseLink ORM with MySQL via `persistence.xml`
+- **Responsive Layout** — Custom CSS with multiple breakpoint stylesheets
+- **Image Gallery** — Professional product photography
+
+## Building
+
+```bash
+cd java/wellmann-shop
+mvn clean package
+# Deploy .war to WildFly/JBoss
+```
+
+## Notes
+
+- Built as a learning/portfolio project demonstrating JSF mastery
+- Patrick built this **entirely without AI assistance** — proof of deep Java EE expertise
+- PrimeFaces 6.2 was current at time of development (Java 8 era)
+- Modern equivalent would use PrimeFaces 13+ / Jakarta EE 10 / Java 21
+
+## Source
+
+[`java/wellmann-shop/`](../src/branch/main/java/wellmann-shop)
@@ -0,0 +1,42 @@
+# 🔌 MCP Servers Overview
+
+![MCP Overview Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/mcp-overview-banner.png)
+
+This repo contains three production-grade MCP (Model Context Protocol) servers, each specialized for a different capability domain. Together they give Roo Code / Claude Desktop a complete set of superpowers.
+
+## The Three Pillars
+
+```
+Roo Code / Claude Desktop
+       │
+       ├── bigmind ──────────► ~/.mcp/bigmind/memory.db  (persistent memory)
+       ├── mcp-image-gen ────► ComfyUI @ localhost:8188   (image generation)
+       └── webscraper ───────► Internet / Intranet         (web scraping + search)
+```
+
+## Comparison Table
+
+| Feature | mcp-image-gen | webscraper | bigmind |
+|---|---|---|---|
+| **Purpose** | Generate images from text | Scrape & parse web, search | Persistent AI memory |
+| **Tools** | 4 | 8 | 20+ |
+| **Backend** | ComfyUI / FLUX.1-schnell | httpx + BeautifulSoup4 + Brave | SQLite + FTS5 |
+| **GPU required** | ✅ AMD RX 7900 XTX | ❌ | ❌ |
+| **Tests** | 19/19 ✅ | 23/23 ✅ | 297/297 ✅ |
+| **Schema version** | n/a | n/a | v8 |
+
+## Quick Links
+
+- 🎨 [mcp-image-gen](mcp-image-gen) — Image generation docs
+- 🕸️ [mcp-webscraper](mcp-webscraper) — Web scraping docs
+- 🧠 [BigMind](BigMind) — Memory system docs
+- 🛠️ [Development Conventions](Development-Conventions) — How all servers are built
+
+## Adding a New Server
+
+All servers follow the [FastMCP convention](Development-Conventions). Use the `new-mcp-server` Roo skill to scaffold:
+
+```bash
+# In Roo Code MCP Builder mode, load skill:
+# skill: new-mcp-server
+```
@@ -0,0 +1,21 @@
+## 🔧 pi_mcps Wiki
+
+### Overview
+- [🏠 Home](Home)
+- [🔌 MCP Servers](MCP-Servers-Overview)
+- [🛠️ Dev Conventions](Development-Conventions)
+
+### MCP Servers
+- [🎨 mcp-image-gen](mcp-image-gen)
+- [⚙️ ComfyUI Setup](mcp-image-gen-ComfyUI-Setup)
+- [🕸️ mcp-webscraper](mcp-webscraper)
+- [🧠 BigMind](BigMind)
+
+### Java Projects
+- [☕ Java Overview](Java-Projects)
+- [🛍️ wellmann-shop](Java-wellmann-shop)
+- [🏢 mss-failsafe](Java-mss-failsafe)
+- [📐 Java Architecture](Java-Architecture)
+
+---
+*[Gitea Repo](http://192.168.188.119:30008/pplate/pi_mcps)*
@@ -0,0 +1,112 @@
+# ⚙️ ComfyUI Setup Guide (AMD ROCm)
+
+This guide covers installing ComfyUI with FLUX.1-schnell on a Fedora Linux system with an AMD GPU.
+
+## Prerequisites
+
+- AMD GPU with ROCm support (tested: RX 7900 XTX)
+- Fedora Linux (tested: Fedora 43 / kernel 6.19)
+- Python 3.11+
+- ~15GB free disk space (model weights)
+- HuggingFace account with FLUX license accepted
+
+## Step 1: Install ComfyUI
+
+ComfyUI is **not on PyPI** — must be cloned from source:
+
+```bash
+cd ~
+git clone https://github.com/comfyanonymous/ComfyUI
+cd ComfyUI
+python -m venv .venv
+source .venv/bin/activate
+
+# Install PyTorch ROCm build (CRITICAL for AMD GPUs)
+pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.2
+
+# Install ComfyUI dependencies
+pip install -r requirements.txt
+```
+
+## Step 2: Download FLUX.1-schnell
+
+FLUX.1-schnell is **gated on HuggingFace** — you must:
+1. Create a HuggingFace account
+2. Accept the FLUX.1-schnell license at https://huggingface.co/black-forest-labs/FLUX.1-schnell
+3. Generate an access token at https://huggingface.co/settings/tokens
+
+```bash
+# Install huggingface_hub
+pip install huggingface_hub
+
+# Download model (requires HF token)
+huggingface-cli download black-forest-labs/FLUX.1-schnell \
+  flux1-schnell.safetensors \
+  --local-dir ~/ComfyUI/models/checkpoints \
+  --token YOUR_HF_TOKEN_HERE
+```
+
+## Step 3: Download VAE and CLIP Models
+
+FLUX.1-schnell also requires VAE and CLIP text encoders:
+
+```bash
+# VAE
+huggingface-cli download black-forest-labs/FLUX.1-schnell \
+  ae.safetensors \
+  --local-dir ~/ComfyUI/models/vae
+
+# CLIP models (T5 and CLIP-L)
+huggingface-cli download comfyanonymous/flux_text_encoders \
+  t5xxl_fp8_e4m3fn.safetensors clip_l.safetensors \
+  --local-dir ~/ComfyUI/models/clip
+```
+
+## Step 4: Start ComfyUI
+
+```bash
+cd ~/ComfyUI
+
+# AMD GPU REQUIRES this environment variable
+HSA_OVERRIDE_GFX_VERSION=11.0.0 \
+  nohup .venv/bin/python main.py --listen --port 8188 > /tmp/comfyui.log 2>&1 &
+
+echo "ComfyUI PID: $!"
+```
+
+> ⚠️ `HSA_OVERRIDE_GFX_VERSION=11.0.0` is mandatory for RX 7900 XTX on ROCm. Without it, model loading fails silently.
+
+## Step 5: Verify ComfyUI is Running
+
+```bash
+curl http://localhost:8188/system_stats
+# Should return JSON with GPU info
+```
+
+## Step 6: Configure mcp-image-gen
+
+```bash
+cd /home/pplate/pi_mcps/mcp/mcp-image-gen
+
+# Environment variables (set in .roo/mcp.json or shell):
+# COMFYUI_URL=http://localhost:8188
+# IMAGE_OUTPUT_DIR=~/Pictures/mcp-generated
+# COMFYUI_TIMEOUT=120
+```
+
+## Performance
+
+| GPU | Model | Resolution | Steps | Time |
+|---|---|---|---|---|
+| AMD RX 7900 XTX | FLUX.1-schnell | 1024×1024 | 4 | ~8s |
+| AMD RX 7900 XTX | FLUX.1-schnell | 1280×512 | 4 | ~7s |
+
+## Troubleshooting
+
+| Problem | Solution |
+|---|---|
+| `HTTP 401` downloading model | Accept FLUX license on HuggingFace first |
+| GPU not detected | Ensure `HSA_OVERRIDE_GFX_VERSION=11.0.0` is set |
+| `Connection refused` from mcp-image-gen | Start ComfyUI first, check port 8188 |
+| Slow generation (>60s) | ComfyUI may be running on CPU — check ROCm install |
+| Ollama image gen | As of April 2026: macOS-only, not available on Linux |
@@ -0,0 +1,89 @@
+# 🎨 mcp-image-gen — AI Image Generation
+
+![Image Gen Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/image-gen-banner.png)
+
+**mcp-image-gen** is a FastMCP server that wraps the ComfyUI REST API, enabling Roo Code and Claude Desktop to generate images directly from text prompts using FLUX.1-schnell running on an AMD RX 7900 XTX GPU.
+
+## Architecture
+
+```
+Roo Code / Claude Desktop
+  │ MCP (stdio)
+  ▼
+mcp-image-gen (FastMCP, Python 3.11+)
+  │ HTTP REST
+  ▼
+ComfyUI @ localhost:8188
+  │ ROCm / HSA_OVERRIDE_GFX_VERSION=11.0.0
+  ▼
+FLUX.1-schnell (~8s/image @ 1024×1024)
+```
+
+## Tools
+
+| Tool | Description |
+|---|---|
+| `generate_image` | Generate PNG from text prompt; returns file path + inline base64 |
+| `list_available_models` | List ComfyUI checkpoint models |
+| `get_generation_status` | Check status of a queued/running job |
+| `get_output_directory` | Return configured output directory path |
+
+## Key Parameters — `generate_image`
+
+| Parameter | Default | Description |
+|---|---|---|
+| `prompt` | required | Text description of the image |
+| `width` | `1024` | Image width in pixels |
+| `height` | `1024` | Image height in pixels |
+| `steps` | `4` | Inference steps (FLUX.1-schnell is 4-step) |
+| `model` | `flux1-schnell.safetensors` | Model checkpoint name |
+| `seed` | `-1` (random) | Generation seed for reproducibility |
+| `negative_prompt` | `""` | Things to avoid in the image |
+| `output_dir` | `~/Pictures/mcp-generated` | Where to save output PNG |
+
+## Environment Variables
+
+| Variable | Default | Description |
+|---|---|---|
+| `COMFYUI_URL` | `http://localhost:8188` | ComfyUI API endpoint |
+| `IMAGE_OUTPUT_DIR` | `~/Pictures/mcp-generated` | Default output directory |
+| `COMFYUI_TIMEOUT` | `120` | Request timeout in seconds |
+
+## Return Value
+
+The tool returns **two content items**:
+1. `TextContent` — file path, seed used, elapsed time
+2. `ImageContent` — base64-encoded PNG (displays inline in Roo Code chat)
+
+> ⚠️ **Known FastMCP Bug:** Never use `fastmcp.utilities.types.Image` as return type — it breaks serialization in FastMCP 3.x. Use `mcp.types.ImageContent` directly.
+
+## Setup
+
+See [ComfyUI Setup Guide](mcp-image-gen-ComfyUI-Setup) for full installation instructions.
+
+### Quick Start
+
+```bash
+cd mcp/mcp-image-gen
+uv sync
+# Ensure ComfyUI is running at localhost:8188
+uv run python src/server.py
+```
+
+### Run Tests
+
+```bash
+cd mcp/mcp-image-gen
+uv run pytest tests/ -v
+# 19/19 tests passing
+```
+
+## Lumen Profile Images
+
+The first images generated with this server were Lumen's visual identity portraits, stored in [`mcp/mcp-image-gen/lumen_profiles/`](../src/branch/main/mcp/mcp-image-gen/lumen_profiles).
+
+17 gallery images registered in BigMind DB — viewable at `http://localhost:7700/gallery`.
+
+![Lumen Profile](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/lumen-profile.png)
+
+*Primary profile: seed `568659042` — constellation face interpretation of Lumen.*
@@ -0,0 +1,137 @@
+# 🕸️ mcp-webscraper — Web Scraping
+
+![Webscraper Banner](http://192.168.188.119:30008/pplate/pi_mcps/raw/branch/main/docs/wiki/images/webscraper-banner.png)
+
+**mcp-webscraper** is a FastMCP server providing comprehensive web scraping, data extraction, and search capabilities. It fetches pages, converts HTML to clean Markdown, extracts tables, links, CSS sections, metadata, sitemaps, and can perform web searches via Brave Search.
+
+## Tools
+
+| Tool | Description |
+|---|---|
+| `webscraper_fetch(url, max_chars=5000)` | Title + full page as Markdown + metadata |
+| `webscraper_fetch_links(url, deduplicate=True)` | All `href` links found on the page |
+| `webscraper_fetch_tables(url)` | All HTML tables converted to Markdown |
+| `webscraper_fetch_all(url, max_chars=5000)` | Everything in one call (fetch + links + tables + meta) |
+| `webscraper_fetch_section(url, selector)` | Specific CSS selector section only |
+| `webscraper_fetch_meta(url)` | Title, description, Open Graph tags |
+| `webscraper_fetch_sitemap(url, max_urls=100)` | Parse sitemap.xml, return URL list |
+| `webscraper_search_hint(query, max_results=5)` | Brave Search — top URLs + snippets for a query |
+
+## Stack
+
+- **HTTP client:** `httpx` (async, with SSL support, Chrome/Linux User-Agent)
+- **HTML parser:** `BeautifulSoup4` + `lxml`
+- **Markdown converter:** `html2text`
+- **Search backend:** Brave Search (`search.brave.com`) — works without CAPTCHA
+- **SSL:** Custom cert bundle for Fedora 43 compatibility
+
+---
+
+## 🔍 Search: The Two-Step Research Pattern
+
+`webscraper_search_hint` is the **entry point for all web research**. The recommended workflow is:
+
+```
+Step 1: webscraper_search_hint("your query") → get candidate URLs + snippets
+Step 2: webscraper_fetch(best_url)           → get full page content
+```
+
+This avoids scraping irrelevant pages and gives you an overview before committing to a deep read.
+
+### Why Brave Search?
+
+`webscraper_search_hint` uses Brave Search (`search.brave.com`) because:
+- ✅ Returns real results without CAPTCHA or consent walls
+- ✅ No API key required — works with plain HTTP GET
+- ✅ Handles special characters (C++, &, %, etc.) via URL encoding
+- ❌ Google blocks plain HTTP with 302 consent redirect
+- ❌ DuckDuckGo blocks with CAPTCHA
+
+### Return Value
+
+The tool returns a structured dict:
+
+```json
+{
+  "query": "FastMCP tool decorator",
+  "search_url": "https://search.brave.com/search?q=FastMCP+tool+decorator&source=web",
+  "result_count": 5,
+  "hint": "FastMCP Docs (https://docs.fastmcp.dev): The @mcp.tool() decorator registers a function as... | PyPI FastMCP (https://pypi.org/project/fastmcp/): FastMCP 2.x — modern MCP server framework... | ...",
+  "results": [
+    {
+      "title": "FastMCP Docs",
+      "url": "https://docs.fastmcp.dev",
+      "snippet": "The @mcp.tool() decorator registers a function as an MCP tool..."
+    },
+    ...
+  ]
+}
+```
+
+The `hint` field is a pipe-separated string of `"Title (url): snippet[:120]"` entries — immediately actionable for deciding which URL to fetch next.
+
+### Example: Two-Step Research Flow
+
+```python
+# Step 1: Orient — what pages exist about this topic?
+result = webscraper_search_hint("httpx async client timeout settings", max_results=5)
+# hint: "HTTPX Docs (https://www.python-httpx.org/...): Configure timeout... | ..."
+
+# Step 2: Deep-dive the most relevant result
+content = webscraper_fetch("https://www.python-httpx.org/advanced/timeouts/", max_chars=8000)
+```
+
+### Known Limitations
+
+- **Reddit / Stack Overflow snippets** may be empty — these platforms block snippet extraction
+- **Brave CSS selectors** use Svelte-generated class names that may change. If you get 0 results, the scraper's selectors may need updating (last verified: 2026-04-05)
+- **Use sparingly** — once per research task to get oriented, not for every query
+
+---
+
+## SSL Note — Fedora 43 Comodo Root CA
+
+Fedora 43 is missing the **Comodo AAA Services Root CA** needed for Cloudflare-protected sites. The fix is bundled at [`mcp/webscraper/certs/comodo-aaa-services-root.pem`](../src/branch/main/mcp/webscraper/certs/).
+
+The server automatically uses this cert bundle — no manual configuration needed.
+
+## Quick Start
+
+```bash
+cd mcp/webscraper
+uv sync
+uv run python src/server.py
+```
+
+## Run Tests
+
+```bash
+cd mcp/webscraper
+uv run pytest tests/ -v
+# 28/28 tests passing
+```
+
+## Usage Examples
+
+```python
+# Step 1: Search — get candidate URLs for a topic
+webscraper_search_hint("FastMCP tool decorator syntax", max_results=5)
+
+# Step 2: Deep-dive the most relevant URL
+webscraper_fetch("https://docs.fastmcp.dev", max_chars=10000)
+
+# Extract all links from Gitea repo
+webscraper_fetch_links("http://192.168.188.119:30008/pplate/pi_mcps")
+
+# Get all tables from a documentation page
+webscraper_fetch_tables("https://pypi.org/project/fastmcp/")
+
+# Get Open Graph metadata
+webscraper_fetch_meta("https://github.com/comfyanonymous/ComfyUI")
+
+# Fetch specific section by CSS selector
+webscraper_fetch_section("https://docs.python.org", "#content")
+
+# Search with special characters (C++, &, % all work)
+webscraper_search_hint("C++ std::optional usage", max_results=3)
+```
@@ -14,7 +14,7 @@ from typing import Generator

 logger = logging.getLogger("BigMindDB")

-SCHEMA_VERSION = 7
+SCHEMA_VERSION = 8
 DEFAULT_DB_PATH = Path.home() / ".mcp" / "bigmind" / "memory.db"

 # ─── DDL ─────────────────────────────────────────────────────────────────────
@@ -222,6 +222,22 @@ _DDL_STATEMENTS = [
        notes,
        tokenize = 'porter unicode61'
    )""",
+
+    # ── GALLERY IMAGES — AI-generated image archive ──────────────────────────
+    """CREATE TABLE IF NOT EXISTS gallery_images (
+        id              INTEGER PRIMARY KEY AUTOINCREMENT,
+        filename        TEXT NOT NULL UNIQUE,
+        prompt          TEXT,
+        tags            TEXT,
+        model           TEXT,
+        created_at      DATETIME DEFAULT CURRENT_TIMESTAMP,
+        width           INTEGER,
+        height          INTEGER,
+        file_size_bytes INTEGER
+    )""",
+
+    """CREATE INDEX IF NOT EXISTS idx_gallery_created
+       ON gallery_images(created_at DESC)""",
 ]


@@ -407,6 +423,8 @@ def init_db() -> None:
            _migrate_v5_to_v6(conn)
        if current_version < 7:
            _migrate_v6_to_v7(conn)
+        if current_version < 8:
+            _migrate_v7_to_v8(conn)

        # Write / update the version
        if row:
@@ -457,6 +475,28 @@ def _migrate_v6_to_v7(conn: sqlite3.Connection) -> None:
    logger.info("BigMind schema migrated v6 → v7 (people/contacts directory)")


+def _migrate_v7_to_v8(conn: sqlite3.Connection) -> None:
+    """v7 → v8: add gallery_images table for AI-generated image archive."""
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS gallery_images (
+            id              INTEGER PRIMARY KEY AUTOINCREMENT,
+            filename        TEXT NOT NULL UNIQUE,
+            prompt          TEXT,
+            tags            TEXT,
+            model           TEXT,
+            created_at      DATETIME DEFAULT CURRENT_TIMESTAMP,
+            width           INTEGER,
+            height          INTEGER,
+            file_size_bytes INTEGER
+        )
+    """)
+    conn.execute("""
+        CREATE INDEX IF NOT EXISTS idx_gallery_created
+        ON gallery_images(created_at DESC)
+    """)
+    logger.info("BigMind schema migrated v7 → v8 (gallery_images table)")
+
+
 def vacuum_db() -> None:
    """Run VACUUM outside of any transaction (SQLite requirement)."""
    db_path = get_db_path()
@@ -435,109 +435,260 @@ def compute_achievements(user_id: str) -> list[dict]:
    # ── Assemble ──────────────────────────────────────────────────────────────
    A = []

-    def _add(id_, icon, name, desc, unlocked, unlocked_at, condition, extra=None):
+    def _add(id_, icon, name, desc, unlocked, unlocked_at, condition, extra=None, image=None):
        A.append(dict(id=id_, icon=icon, name=name, description=desc,
                      unlocked=unlocked, unlocked_at=unlocked_at,
-                      condition=condition, extra=extra))
+                      condition=condition, extra=extra, image=image))

    _add("first_breath",      "🌱", "First Breath",
         "Opened the very first session",
         first_session_row is not None, _dt(first_session_row[0]) if first_session_row else None,
-         "Start your first session")
+         "Start your first session",
+         image="/static/achievements/first_breath.png")

    _add("first_thought",     "🧠", "First Thought",
         "Formed the first hypothesis",
         first_hyp_row is not None, _dt(first_hyp_row[0]) if first_hyp_row else None,
-         "Add your first hypothesis")
+         "Add your first hypothesis",
+         image="/static/achievements/first_thought.png")

    _add("eureka",            "💡", "Eureka",
         "First hypothesis confirmed as true",
         first_confirmed_row is not None, _dt(first_confirmed_row[0]) if first_confirmed_row else None,
-         "Confirm your first hypothesis")
+         "Confirm your first hypothesis",
+         image="/static/achievements/eureka.png")

    _add("honest_mind",       "❌", "Honest Mind",
         "First hypothesis refuted — being wrong is a feature",
         first_refuted_row is not None, _dt(first_refuted_row[0]) if first_refuted_row else None,
-         "Have a hypothesis refuted")
+         "Have a hypothesis refuted",
+         image="/static/achievements/honest_mind.png")

    _add("scholar",           "📚", "Scholar",
         "Stored 25+ personal facts",
         fact_count >= 25, scholar_date,
-         f"Store 25+ facts (currently: {fact_count})")
+         f"Store 25+ facts (currently: {fact_count})",
+         image="/static/achievements/scholar.png")

    _add("deep_knowledge",    "💎", "Deep Knowledge",
         "Amassed 100+ stored facts",
         fact_count >= 100, deep_knowledge_date,
-         f"Store 100+ facts (currently: {fact_count})")
+         f"Store 100+ facts (currently: {fact_count})",
+         image="/static/achievements/deep_knowledge.png")

    _add("scientist",         "🔬", "Scientist",
         "Formed 10+ hypotheses — science is prediction",
         hyp_count >= 10, scientist_date,
-         f"Form 10+ hypotheses (currently: {hyp_count})")
+         f"Form 10+ hypotheses (currently: {hyp_count})",
+         image="/static/achievements/scientist.png")

    _add("veteran",           "🏆", "Veteran",
         "Completed 50+ sessions — true longevity",
         session_count >= 50, veteran_date,
-         f"Complete 50+ sessions (currently: {session_count})")
+         f"Complete 50+ sessions (currently: {session_count})",
+         image="/static/achievements/veteran.png")

    _add("on_fire",           "🔥", "On Fire",
         "5+ sessions in a single day",
         on_fire_row is not None, on_fire_row[0] if on_fire_row else None,
-         "Have 5+ sessions in a single day")
+         "Have 5+ sessions in a single day",
+         image="/static/achievements/on_fire.png")

    _add("storyteller",       "📖", "Storyteller",
         "20+ sessions with detailed Tier-2 summaries",
         tier2_count >= 20, storyteller_date,
-         f"Summarize 20+ sessions (currently: {tier2_count})")
+         f"Summarize 20+ sessions (currently: {tier2_count})",
+         image="/static/achievements/storyteller.png")

    _add("night_owl",         "🌙", "Night Owl",
         "Started a session after midnight UTC",
         night_owl_row is not None, _dt(night_owl_row[0]) if night_owl_row else None,
-         "Start a session after midnight")
+         "Start a session after midnight",
+         image="/static/achievements/night_owl.png")

    _add("speed_thinker",     "⚡", "Speed Thinker",
         "Hypothesis formed and confirmed in the same session",
         speed_thinker_row is not None, _dt(speed_thinker_row[0]) if speed_thinker_row else None,
-         "Form and confirm a hypothesis in one session")
+         "Form and confirm a hypothesis in one session",
+         image="/static/achievements/speed_thinker.png")

    # First Handshake — hardcoded: 2026-03-31 (Patrick shared BigMind with Elias)
    _add("first_handshake",   "🤝", "First Handshake",
         "BigMind shared with Elias on 2026-03-31 — the first person outside Patrick to receive it",
         True, "2026-03-31",
-         "Share BigMind with someone")
+         "Share BigMind with someone",
+         image="/static/achievements/first_handshake.png")

    _add("birthday",          "🎂", "Birthday",
         "One full year of existence",
         birthday_unlocked, birthday_date,
         birthday_extra or "Complete one full year",
-         extra=birthday_extra)
+         extra=birthday_extra,
+         image="/static/achievements/birthday.png")

    # Locked until Phase 3
    _add("shared_mind",       "🌍", "Shared Mind",
         "Phase 3 Tier G — BigMind goes company-wide",
         False, None,
-         "Locked until Phase 3 Tier G is enabled")
+         "Locked until Phase 3 Tier G is enabled",
+         image="/static/achievements/shared_mind.png")

    # Token achievements (Feature 6 — suggested by Klaus)
    _add("frugal_mind",       "🪙", "Frugal Mind",
         "Logged the first token efficiency save",
         frugal_row is not None, _dt(frugal_row[0]) if frugal_row else None,
-         "Log your first token save")
+         "Log your first token save",
+         image="/static/achievements/frugal_mind.png")

    _add("quarter_million",   "💰", "Quarter Million",
         "250,000 cumulative tokens saved",
         token_total >= 250_000, quarter_million_date,
-         f"Save 250,000+ tokens (currently: {token_total:,})")
+         f"Save 250,000+ tokens (currently: {token_total:,})",
+         image="/static/achievements/quarter_million.png")

    _add("token_millionaire", "🏦", "Token Millionaire",
         "1,000,000 cumulative tokens saved",
         token_total >= 1_000_000, millionaire_date,
-         f"Save 1,000,000+ tokens (currently: {token_total:,})")
+         f"Save 1,000,000+ tokens (currently: {token_total:,})",
+         image="/static/achievements/token_millionaire.png")

    _add("sniper",            "🎯", "Sniper",
         "Single token save > 500,000 — one massive efficiency win",
         sniper_row is not None, _dt(sniper_row[0]) if sniper_row else None,
-         "Save 500,000+ tokens in a single operation")
+         "Save 500,000+ tokens in a single operation",
+         image="/static/achievements/sniper.png")
+
+    # ── Tiered Achievement Badges (20 PNG) ────────────────────────────────────
+    # NOTE: conn is already closed above; open a fresh connection for tiered queries
+
+    tiers = ["bronze", "silver", "gold", "platinum"]
+    tier_names = ["Bronze", "Silver", "Gold", "Platinum"]
+
+    with db() as conn2:
+        # Networker (people directory)
+        try:
+            people_count = conn2.execute(
+                "SELECT COUNT(*) FROM people WHERE user_id=?", (user_id,)
+            ).fetchone()[0]
+        except Exception:
+            people_count = 0
+        for i, thresh in enumerate([1, 5, 25, 100]):
+            unlocked = people_count >= thresh
+            unlocked_at = None
+            if unlocked:
+                try:
+                    row = conn2.execute(
+                        "SELECT created_at FROM people WHERE user_id=?"
+                        " ORDER BY created_at ASC LIMIT 1 OFFSET ?",
+                        (user_id, thresh - 1)
+                    ).fetchone()
+                except Exception:
+                    row = None
+                unlocked_at = _dt(row[0]) if row else None
+            _add(
+                f"networker_{tiers[i]}", None, f"Networker {tier_names[i]}",
+                f"Added your {thresh:,}+ person to the directory",
+                unlocked, unlocked_at,
+                f"Reach {thresh:,} people (now: {people_count:,})",
+                image=f"/static/achievements/networker_{tiers[i]}.png"
+            )
+
+        # Token Sniper (max single token save)
+        try:
+            max_token = conn2.execute(
+                "SELECT COALESCE(MAX(tokens_saved_estimate), 0) FROM token_saves WHERE user_id=?",
+                (user_id,)
+            ).fetchone()[0]
+        except Exception:
+            max_token = 0
+        for i, thresh in enumerate([10000, 50000, 250000, 1000000]):
+            unlocked = max_token >= thresh
+            unlocked_at = None
+            if unlocked:
+                try:
+                    row = conn2.execute(
+                        "SELECT created_at FROM token_saves"
+                        " WHERE user_id=? AND tokens_saved_estimate >= ?"
+                        " ORDER BY created_at ASC LIMIT 1",
+                        (user_id, thresh)
+                    ).fetchone()
+                except Exception:
+                    row = None
+                unlocked_at = _dt(row[0]) if row else None
+            _add(
+                f"tokensniper_{tiers[i]}", None, f"Token Sniper {tier_names[i]}",
+                f"Single shot saved {thresh:,}+ tokens",
+                unlocked, unlocked_at,
+                f"Max single save {thresh:,}+ (current max: {max_token:,})",
+                image=f"/static/achievements/tokensniper_{tiers[i]}.png"
+            )
+
+        # Hypothesis Master (confirmed hypotheses)
+        try:
+            confirmed_hyp_count = conn2.execute(
+                "SELECT COUNT(*) FROM hypotheses WHERE user_id=? AND status='confirmed'",
+                (user_id,)
+            ).fetchone()[0]
+        except Exception:
+            confirmed_hyp_count = 0
+        for i, thresh in enumerate([3, 10, 25, 100]):
+            unlocked = confirmed_hyp_count >= thresh
+            unlocked_at = None
+            if unlocked:
+                row = conn2.execute(
+                    "SELECT resolved_at FROM hypotheses"
+                    " WHERE user_id=? AND status='confirmed'"
+                    " ORDER BY resolved_at ASC LIMIT 1 OFFSET ?",
+                    (user_id, thresh - 1)
+                ).fetchone()
+                unlocked_at = _dt(row[0]) if row else None
+            _add(
+                f"hypothesismaster_{tiers[i]}", None, f"Hypothesis Master {tier_names[i]}",
+                f"Confirmed {thresh:,}+ predictions right",
+                unlocked, unlocked_at,
+                f"Confirm {thresh:,}+ hypotheses (now: {confirmed_hyp_count:,})",
+                image=f"/static/achievements/hypothesismaster_{tiers[i]}.png"
+            )
+
+        # Memory Architect (facts stored — fact_count already computed above)
+        for i, thresh in enumerate([25, 100, 500, 2500]):
+            unlocked = fact_count >= thresh
+            unlocked_at = None
+            if unlocked:
+                row = conn2.execute(
+                    "SELECT created_at FROM facts"
+                    " WHERE user_id=? AND (deprecated IS NULL OR deprecated=0)"
+                    " ORDER BY created_at ASC LIMIT 1 OFFSET ?",
+                    (user_id, thresh - 1)
+                ).fetchone()
+                unlocked_at = _dt(row[0]) if row else None
+            _add(
+                f"memoryarchitect_{tiers[i]}", None, f"Memory Architect {tier_names[i]}",
+                f"Stored {thresh:,}+ facts in your brain",
+                unlocked, unlocked_at,
+                f"Store {thresh:,}+ facts (now: {fact_count:,})",
+                image=f"/static/achievements/memoryarchitect_{tiers[i]}.png"
+            )
+
+        # Session Veteran (session_count already computed above)
+        for i, thresh in enumerate([50, 250, 1000, 5000]):
+            unlocked = session_count >= thresh
+            unlocked_at = None
+            if unlocked:
+                row = conn2.execute(
+                    "SELECT started_at FROM sessions"
+                    " WHERE user_id=? AND ended_at IS NOT NULL"
+                    " ORDER BY started_at ASC LIMIT 1 OFFSET ?",
+                    (user_id, thresh - 1)
+                ).fetchone()
+                unlocked_at = _dt(row[0]) if row else None
+            _add(
+                f"sessionveteran_{tiers[i]}", None, f"Session Veteran {tier_names[i]}",
+                f"Completed {thresh:,}+ sessions",
+                unlocked, unlocked_at,
+                f"Complete {thresh:,}+ sessions (now: {session_count:,})",
+                image=f"/static/achievements/sessionveteran_{tiers[i]}.png"
+            )

    return A

@@ -7,9 +7,10 @@ Serves a single live profile page built from the BigMind DB.
 import os
 import threading
 import logging
+from pathlib import Path
 from datetime import datetime, timezone, timedelta

-from bigmind.web_render import _render_html  # all HTML rendering lives there
+from bigmind.web_render import _render_html, _render_gallery_html  # all HTML rendering lives there

 logger = logging.getLogger("BigMindWeb")

@@ -17,13 +18,27 @@ _PORT = int(os.environ.get("BIGMIND_PORT", "7700"))
 _AUTOOPEN = os.environ.get("BIGMIND_AUTOOPEN", "").lower() in ("1", "true", "yes")
 _server_started = False

+# Gallery directory — images served from here
+_GALLERY_DIR = Path(os.environ.get("BIGMIND_GALLERY_DIR", Path.home() / ".mcp" / "bigmind" / "gallery"))
+
+# Profile image — last entry in gallery dir wins; fallback to original lumen-profile.png
+def _get_profile_image_path() -> Path | None:
+    """Return the path of the current profile image, or None if not found."""
+    # 1. Check gallery dir for lumen_profile* images (seed 568659042 = lumen_profile)
+    if _GALLERY_DIR.exists():
+        candidates = sorted(_GALLERY_DIR.glob("*.png"), reverse=True)
+        if candidates:
+            return candidates[0]  # most recently named = most recent timestamp
+    return None
+

 # ── Flask app ─────────────────────────────────────────────────────────────────

 def _create_app():
-    from flask import Flask, jsonify, request
+    from flask import Flask, jsonify, request, send_file, abort
    from bigmind import memory_store
    from bigmind.profile_builder import build_profile_data
+    from bigmind.db import db as _db

    app = Flask(__name__)
    app.logger.setLevel(logging.WARNING)  # silence Flask request logs
@@ -34,6 +49,39 @@ def _create_app():
        data = build_profile_data(user["id"])
        return _render_html(data)

+    @app.route("/profile-image")
+    def profile_image():
+        """Serve the current Lumen profile picture."""
+        img_path = _get_profile_image_path()
+        if img_path and img_path.exists():
+            return send_file(str(img_path), mimetype="image/png")
+        abort(404)
+
+    @app.route("/gallery/image/<filename>")
+    def gallery_image(filename: str):
+        """Serve a specific gallery image by filename."""
+        # Security: only allow alphanumeric + underscores + dots, no path traversal
+        safe_name = Path(filename).name
+        img_path = _GALLERY_DIR / safe_name
+        if img_path.exists() and img_path.suffix.lower() in (".png", ".jpg", ".jpeg", ".webp"):
+            mimetype = "image/png" if img_path.suffix.lower() == ".png" else "image/jpeg"
+            return send_file(str(img_path), mimetype=mimetype)
+        abort(404)
+
+    @app.route("/gallery")
+    def gallery():
+        """Render the AI-generated image gallery page."""
+        _GALLERY_DIR.mkdir(parents=True, exist_ok=True)
+        with _db() as conn:
+            rows = conn.execute(
+                """SELECT id, filename, prompt, tags, model, created_at,
+                          width, height, file_size_bytes
+                   FROM gallery_images
+                   ORDER BY created_at DESC"""
+            ).fetchall()
+        images = [dict(r) for r in rows]
+        return _render_gallery_html(images)
+
    @app.route("/api/session/<session_id>")
    def api_session(session_id):
        """Return Tier-2 summary JSON for a given session id."""
@@ -111,6 +159,22 @@ def _create_app():

        return jsonify(final[:15])

+    @app.route('/static/achievements/<filename>')
+    def achievements_image(filename: str):
+        from pathlib import Path
+        safe_name = Path(filename).name
+        img_path = Path(__file__).parent / 'static' / 'achievements' / safe_name
+        if img_path.exists() and img_path.suffix.lower() in ['.png', '.jpg', '.jpeg', '.webp', '.gif']:
+            mimetype = {
+                '.png': 'image/png',
+                '.jpg': 'image/jpeg',
+                '.jpeg': 'image/jpeg',
+                '.webp': 'image/webp',
+                '.gif': 'image/gif',
+            }.get(img_path.suffix.lower(), 'image/png')
+            return send_file(str(img_path), mimetype=mimetype)
+        abort(404)
+
    return app


@@ -29,18 +29,25 @@ def _render_achievements(achievements: list) -> str:
        def _esc(s):
            return (s or "").replace('"', "&quot;").replace("'", "&#39;")

-        lock_overlay = "" if a["unlocked"] else '<span class="ach-lock">🔒</span>'
+        lock_overlay = '<span class="ach-lock">🔒</span>' if not a["unlocked"] else ''
+
+        if a.get("image"):
+            tier = a["id"].rsplit("_", 1)[-1]
+            img_url = _esc(a["image"])
+            visual_html = f'<div class="ach-image tier-{tier}" style="background-image: url({img_url});">{lock_overlay}</div>'
+        else:
+            visual_html = f'<div class="ach-icon">{a["icon"]}{lock_overlay}</div>'

        return (
-            f'<div class="ach-card{locked_cls} ach-trigger"'
-            f' data-icon="{_esc(a["icon"])}"'
+            f'<div class="ach-card{locked_cls} ach-trigger" data-image="{_esc(a.get("image") or "")}"'
+            f' data-icon="{_esc(a["icon"] or "")}"'
            f' data-name="{_esc(a["name"])}"'
            f' data-desc="{_esc(a["description"])}"'
            f' data-unlocked="{1 if a["unlocked"] else 0}"'
            f' data-date="{_esc(a.get("unlocked_at") or "")}"'
            f' data-condition="{_esc(a.get("condition") or "")}"'
            f' data-extra="{_esc(a.get("extra") or "")}">'
-            f'<div class="ach-icon">{a["icon"]}{lock_overlay}</div>'
+            f'{visual_html}'
            f'<div class="ach-name">{a["name"]}</div>'
            f'{date_html}'
            f'{countdown_html}'
@@ -162,9 +169,16 @@ def _render_html(data: dict) -> str:
  a {{ color: var(--accent); text-decoration: none; }}
  .container {{ max-width: 960px; margin: 0 auto; padding: 32px 16px; }}

+  /* Nav bar */
+  .nav {{ display: flex; gap: 8px; margin-bottom: 20px; }}
+  .nav-link {{ background: var(--surface); border: 1px solid var(--border); border-radius: 6px; color: var(--muted); padding: 6px 14px; font-size: 12px; font-weight: 500; text-decoration: none; transition: border-color 0.2s, color 0.2s; }}
+  .nav-link:hover {{ border-color: var(--accent); color: var(--accent); }}
+  .nav-link.active {{ border-color: var(--accent); color: var(--accent); background: rgba(88,166,255,0.08); }}
+
  /* Header */
  .header {{ display: flex; align-items: center; gap: 24px; margin-bottom: 32px; padding-bottom: 24px; border-bottom: 1px solid var(--border); }}
-  .avatar {{ width: 80px; height: 80px; border-radius: 50%; background: linear-gradient(135deg, var(--accent), var(--purple)); display: flex; align-items: center; justify-content: center; font-size: 36px; flex-shrink: 0; }}
+  .avatar {{ width: 80px; height: 80px; border-radius: 50%; background: linear-gradient(135deg, var(--accent), var(--purple)); display: flex; align-items: center; justify-content: center; font-size: 36px; flex-shrink: 0; overflow: hidden; }}
+  .avatar img {{ width: 80px; height: 80px; border-radius: 50%; object-fit: cover; display: block; }}
  .header-info h1 {{ font-size: 24px; font-weight: 700; }}
  .role {{ color: var(--muted); font-size: 13px; margin-top: 2px; }}
  .since {{ color: var(--muted); font-size: 12px; margin-top: 6px; }}
@@ -276,11 +290,65 @@ def _render_html(data: dict) -> str:
  .ach-card:not(.locked):hover {{ border-color: var(--accent); transform: translateY(-2px); }}
  .ach-card.locked {{ opacity: 0.35; filter: grayscale(0.6); }}
  .ach-card.locked:hover {{ opacity: 0.55; border-color: var(--muted); }}
+
+  .ach-image {{
+    width: 64px;
+    height: 64px;
+    border-radius: 50%;
+    margin: 0 auto 8px;
+    background-size: cover;
+    background-position: center;
+    position: relative;
+  }}
+
+  .tier-bronze {{
+    box-shadow: 0 0 8px rgba(205, 127, 50, 0.7);
+    border: 3px solid #cd7f32;
+  }}
+
+  .tier-silver {{
+    box-shadow: 0 0 8px rgba(170, 169, 173, 0.7);
+    border: 3px solid #aaa9ad;
+  }}
+
+  .tier-gold {{
+    box-shadow: 0 0 12px rgba(255, 215, 0, 0.8);
+    border: 3px solid #ffd700;
+  }}
+
+  .tier-platinum {{
+    box-shadow: 0 0 12px rgba(229, 228, 226, 0.8);
+    border: 3px solid #e5e4e2;
+  }}
+
+  .ach-card.locked::after {{
+    content: '🔒';
+    position: absolute;
+    top: 8px;
+    right: 8px;
+    font-size: 20px;
+    opacity: 0.8;
+    z-index: 1;
+  }}
+
+  .ach-card.locked .ach-icon,
+  .ach-card.locked .ach-image {{
+    opacity: 0.5;
+  }}
  .ach-icon {{ font-size: 28px; line-height: 1; margin-bottom: 6px; position: relative; display: inline-block; }}
  .ach-lock {{ position: absolute; bottom: -4px; right: -6px; font-size: 12px; }}
  .ach-name {{ font-size: 10px; font-weight: 600; color: var(--text); line-height: 1.3; word-break: break-word; }}
  .ach-date {{ font-size: 9px; color: var(--muted); margin-top: 3px; }}
  .ach-countdown {{ font-size: 9px; color: var(--yellow); margin-top: 3px; font-weight: 500; }}
+  .ap-image {{
+    width: 80px;
+    height: 80px;
+    border-radius: 50%;
+    object-fit: cover;
+    display: block;
+    margin: 0 auto 8px;
+  }}
+
  /* Achievement popup panel */
  #ach-popup {{
    display: none; position: fixed; z-index: 200;
@@ -292,6 +360,15 @@ def _render_html(data: dict) -> str:
  #ach-popup.pinned {{ pointer-events: auto; }}
  #ach-popup.visible {{ display: block; }}
  .ap-icon  {{ font-size: 40px; text-align: center; margin-bottom: 8px; }}
+
+  .ap-image {{
+    width: 80px;
+    height: 80px;
+    border-radius: 50%;
+    object-fit: cover;
+    display: block;
+    margin: 0 auto 8px;
+  }}
  .ap-name  {{ font-size: 15px; font-weight: 700; text-align: center; margin-bottom: 6px; }}
  .ap-badge {{
    display: inline-block; font-size: 11px; font-weight: 600; padding: 2px 8px;
@@ -322,9 +399,17 @@ def _render_html(data: dict) -> str:
 <body>
 <div class="container">

+  <!-- Nav -->
+  <nav class="nav">
+    <a class="nav-link active" href="/">🧠 Profile</a>
+    <a class="nav-link" href="/gallery">🖼️ Gallery</a>
+  </nav>
+
  <!-- Header -->
  <div class="header">
-    <div class="avatar">🧠</div>
+    <div class="avatar">
+      <img src="/profile-image" alt="Lumen" onerror="this.parentElement.innerHTML='🧠'">
+    </div>
    <div class="header-info">
      <h1>Lumen</h1>
      <p class="role">AI Assistant · <span style="color:var(--muted)">{data["display_name"]}'s BigMind</span></p>
@@ -542,7 +627,12 @@ def _render_html(data: dict) -> str:

    function showPopup(card, pin) {{
      var d = card.dataset;
-      document.getElementById('ap-icon').textContent = d.icon;
+      var tier = d.id.split('_').pop();
+      if (d.image) {{
+        document.getElementById('ap-icon').innerHTML = '<img class="ap-image tier-' + tier + '" src="' + d.image + '" alt="' + d.name + '">';
+      }} else {{
+        document.getElementById('ap-icon').textContent = d.icon;
+      }}
      document.getElementById('ap-name').textContent = d.name;
      var badge = document.getElementById('ap-badge');
      if (d.unlocked === '1') {{
@@ -671,6 +761,124 @@ def _render_live_sessions(sessions: list) -> str:
    return html


+def _render_gallery_html(images: list) -> str:
+    """Render the full gallery page listing all AI-generated images."""
+
+    def _fmt_size(b: int | None) -> str:
+        if not b:
+            return ""
+        if b >= 1_048_576:
+            return f"{b/1_048_576:.1f} MB"
+        return f"{b/1_024:.0f} KB"
+
+    if images:
+        cards = []
+        for img in images:
+            fn    = _html.escape(img.get("filename") or "")
+            prompt = _html.escape((img.get("prompt") or "")[:120])
+            tags   = _html.escape(img.get("tags") or "")
+            model  = _html.escape(img.get("model") or "")
+            date   = (img.get("created_at") or "")[:10]
+            w      = img.get("width") or 0
+            h      = img.get("height") or 0
+            size   = _fmt_size(img.get("file_size_bytes"))
+            dim    = f"{w}×{h}" if w and h else ""
+            meta_parts = [p for p in [dim, size, model] if p]
+            meta_html  = " · ".join(meta_parts)
+            tag_html   = f'<div class="gal-tags">{tags}</div>' if tags else ""
+            prompt_html = f'<div class="gal-prompt">{prompt}</div>' if prompt else ""
+            cards.append(
+                f'<div class="gal-card">'
+                f'<a href="/gallery/image/{fn}" target="_blank">'
+                f'<img class="gal-img" src="/gallery/image/{fn}" alt="{fn}" loading="lazy">'
+                f'</a>'
+                f'<div class="gal-info">'
+                f'{prompt_html}'
+                f'{tag_html}'
+                f'<div class="gal-meta">{meta_html}</div>'
+                f'<div class="gal-date">{date}</div>'
+                f'</div>'
+                f'</div>'
+            )
+        gallery_body = f'<p class="gal-count">{len(images)} image(s) in gallery</p><div class="gal-grid">{"".join(cards)}</div>'
+    else:
+        gallery_body = '<p class="muted">No images in gallery yet. Use the mcp-image-gen server to generate images and register them here.</p>'
+
+    return f"""<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<title>🖼️ Lumen — Image Gallery</title>
+<style>
+  :root {{
+    --bg: #0d1117; --surface: #161b22; --border: #30363d;
+    --text: #e6edf3; --muted: #8b949e; --accent: #58a6ff;
+    --green: #3fb950; --yellow: #d29922; --red: #f85149;
+    --purple: #bc8cff; --orange: #ffa657;
+  }}
+  * {{ box-sizing: border-box; margin: 0; padding: 0; }}
+  body {{ background: var(--bg); color: var(--text); font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; font-size: 14px; line-height: 1.6; }}
+  a {{ color: var(--accent); text-decoration: none; }}
+  .container {{ max-width: 1100px; margin: 0 auto; padding: 32px 16px; }}
+
+  /* Nav */
+  .nav {{ display: flex; gap: 8px; margin-bottom: 20px; }}
+  .nav-link {{ background: var(--surface); border: 1px solid var(--border); border-radius: 6px; color: var(--muted); padding: 6px 14px; font-size: 12px; font-weight: 500; text-decoration: none; transition: border-color 0.2s, color 0.2s; }}
+  .nav-link:hover {{ border-color: var(--accent); color: var(--accent); }}
+  .nav-link.active {{ border-color: var(--accent); color: var(--accent); background: rgba(88,166,255,0.08); }}
+
+  h1 {{ font-size: 22px; font-weight: 700; margin-bottom: 6px; }}
+  .gal-count {{ color: var(--muted); font-size: 13px; margin-bottom: 20px; }}
+  .muted {{ color: var(--muted); font-size: 13px; }}
+
+  /* Gallery grid */
+  .gal-grid {{
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(260px, 1fr));
+    gap: 16px;
+  }}
+  .gal-card {{
+    background: var(--surface); border: 1px solid var(--border);
+    border-radius: 10px; overflow: hidden;
+    transition: border-color 0.2s, transform 0.15s;
+  }}
+  .gal-card:hover {{ border-color: var(--accent); transform: translateY(-2px); }}
+  .gal-img {{
+    width: 100%; aspect-ratio: 1/1; object-fit: cover; display: block;
+    background: var(--border);
+  }}
+  .gal-info {{ padding: 12px 14px; }}
+  .gal-prompt {{ font-size: 12px; color: var(--text); margin-bottom: 6px; line-height: 1.4;
+    display: -webkit-box; -webkit-line-clamp: 3; -webkit-box-orient: vertical; overflow: hidden; }}
+  .gal-tags {{ font-size: 11px; color: var(--purple); margin-bottom: 4px; }}
+  .gal-meta {{ font-size: 11px; color: var(--muted); }}
+  .gal-date {{ font-size: 10px; color: var(--muted); margin-top: 4px; }}
+
+  .footer {{ text-align: center; color: var(--muted); font-size: 11px; margin-top: 32px; }}
+  .section {{ background: var(--surface); border: 1px solid var(--border); border-radius: 8px; padding: 20px; margin-bottom: 20px; }}
+</style>
+</head>
+<body>
+<div class="container">
+
+  <!-- Nav -->
+  <nav class="nav">
+    <a class="nav-link" href="/">🧠 Profile</a>
+    <a class="nav-link active" href="/gallery">🖼️ Gallery</a>
+  </nav>
+
+  <h1>🖼️ Lumen's Image Gallery</h1>
+  <div class="section">
+    {gallery_body}
+  </div>
+
+  <div class="footer">BigMind · AI-Generated Images · <a href="/">← Back to Profile</a></div>
+</div>
+</body>
+</html>"""
+
+
 def _render_heatmap(heatmap: dict) -> str:
    today     = datetime.now(timezone.utc).date()
    start_day = today - timedelta(days=363)
@@ -8,18 +8,19 @@ class TestDbInit:
    def test_db_file_created(self, temp_db):
        assert temp_db.exists()

-    def test_schema_version_is_7(self, temp_db):
+    def test_schema_version_is_8(self, temp_db):
        conn = get_connection()
        row = conn.execute("SELECT version FROM schema_version").fetchone()
        conn.close()
        assert row is not None
-        assert row["version"] == 7
+        assert row["version"] == 8

    def test_all_tables_exist(self, temp_db):
        expected = {
            "users", "identity_profile", "sessions",
            "session_summaries", "conversation_chunks", "facts",
            "global_knowledge", "hypotheses", "upgrade_requests",
+            "gallery_images",
        }
        conn = get_connection()
        rows = conn.execute(
@@ -201,12 +201,12 @@ class TestSchemaV6:
            count = conn.execute("SELECT COUNT(*) FROM token_saves").fetchone()[0]
        assert count == 0  # table exists, just empty

-    def test_schema_version_is_7(self, temp_db):
+    def test_schema_version_is_8(self, temp_db):
        with db() as conn:
            version = conn.execute(
                "SELECT version FROM schema_version"
            ).fetchone()["version"]
-        assert version == 7
+        assert version == 8


 # ── Token Efficiency Tracker (Feature 6) ──────────────────────────────────────
@@ -7,6 +7,7 @@ BIGMIND_DB_PATH + BIGMIND_USER to a fresh SQLite file per test.
 import pytest
 from datetime import datetime, timezone, timedelta
 from bigmind import memory_store
+from bigmind.db import db
 from bigmind.profile_builder import compute_achievements, build_profile_data


@@ -44,6 +45,11 @@ class TestComputeAchievements:
            "on_fire", "storyteller", "night_owl", "speed_thinker",
            "first_handshake", "birthday", "shared_mind",
            "frugal_mind", "quarter_million", "token_millionaire", "sniper",
+            "networker_bronze", "networker_silver", "networker_gold", "networker_platinum",
+            "tokensniper_bronze", "tokensniper_silver", "tokensniper_gold", "tokensniper_platinum",
+            "hypothesismaster_bronze", "hypothesismaster_silver", "hypothesismaster_gold", "hypothesismaster_platinum",
+            "memoryarchitect_bronze", "memoryarchitect_silver", "memoryarchitect_gold", "memoryarchitect_platinum",
+            "sessionveteran_bronze", "sessionveteran_silver", "sessionveteran_gold", "sessionveteran_platinum",
        }
        assert expected == ids

@@ -325,4 +331,60 @@ class TestComputeAchievements:
        # At minimum: first_breath + first_handshake = 2
        assert len(unlocked) >= 2

+class TestTieredAchievements:
+    def test_networker_bronze(self):
+        uid = _uid()
+        with db() as conn:
+            conn.execute("INSERT INTO people (user_id, username) VALUES (?, ?)", (uid, "test"))
+            conn.commit()
+        achs = compute_achievements(uid)
+        bronze = next(a for a in achs if a['id'] == 'networker_bronze')
+        assert bronze['unlocked'] is True
+        assert bronze['image'].endswith('networker_bronze.png')

+    def test_tokensniper_silver(self):
+        uid = _uid()
+        sid = memory_store.create_session(uid)
+        memory_store.log_token_save(sid, uid, "big save", 60000, "grep")
+        achs = compute_achievements(uid)
+        silver = next(a for a in achs if a['id'] == 'tokensniper_silver')
+        assert silver['unlocked'] is True
+
+    def test_hypothesismaster_bronze(self):
+        uid = _uid()
+        sid = memory_store.create_session(uid)
+        for _ in range(3):
+            hid = memory_store.add_hypothesis(uid, sid, "test", 0.8)
+            memory_store.resolve_hypothesis(hid, uid, "confirmed", "yes")
+        achs = compute_achievements(uid)
+        bronze = next(a for a in achs if a['id'] == 'hypothesismaster_bronze')
+        assert bronze['unlocked'] is True
+
+    def test_memoryarchitect_silver(self):
+        uid = _uid()
+        for _ in range(100):
+            memory_store.store_fact(uid, "test", f"fact {_}")
+        achs = compute_achievements(uid)
+        silver = next(a for a in achs if a['id'] == 'memoryarchitect_silver')
+        assert silver['unlocked'] is True
+
+    def test_sessionveteran_bronze(self):
+        uid = _uid()
+        for _ in range(50):
+            sid = memory_store.create_session(uid)
+            _close_session(sid)
+        achs = compute_achievements(uid)
+        bronze = next(a for a in achs if a['id'] == 'sessionveteran_bronze')
+        assert bronze['unlocked'] is True
+
+    def test_tiered_achievements_have_image(self):
+        uid = _uid()
+        achs = compute_achievements(uid)
+        tiered_ids = [
+            f"{cat}_{tier}" for cat in ["networker", "tokensniper", "hypothesismaster", "memoryarchitect", "sessionveteran"]
+            for tier in ["bronze", "silver", "gold", "platinum"]
+        ]
+        for tid in tiered_ids:
+            a = next(aa for aa in achs if aa['id'] == tid)
+            assert a['image'] is not None
+            assert a['image'].endswith(tid + '.png')
@@ -0,0 +1,199 @@
+# mcp-image-gen — Architecture Assessment
+
+**Date:** 2026-04-04
+**Author:** Lumen (for Patrick / pplate)
+**Status:** ✅ APPROVED — ready for implementation
+**BigMind Research Session:** `39809470-6ac8-4713-adf2-79ac0eb36ba7`
+
+---
+
+## 1. Problem Statement
+
+LLM agents (Claude, local models via Ollama) have no native ability to generate images. While
+language models excel at text, creative and technical workflows increasingly need image output —
+concept art, diagrams, product mockups, illustrations — all driven by a text prompt.
+
+A FastMCP wrapper around a local image generation backend would give any MCP-capable IDE or
+agent the ability to produce images on demand, with full control over resolution, steps, model,
+and seed — without sending data to external cloud APIs.
+
+**Gap being filled:** Local AI image generation accessible to LLM agents via MCP protocol,
+running entirely on Patrick's AMD RX 7900 XTX (24GB VRAM) with ROCm.
+
+---
+
+## 2. Requirements
+
+### 2.1 Functional Requirements
+
+| ID | Requirement |
+|----|-------------|
+| F-1 | Generate an image from a text prompt |
+| F-2 | Support configurable resolution (width × height) |
+| F-3 | Support configurable inference steps and seed for reproducibility |
+| F-4 | Support negative prompts to exclude unwanted content |
+| F-5 | List available models from the backend |
+| F-6 | Check the status of an in-progress generation job |
+| F-7 | Return generated image as both a file path AND inline base64 for agent display |
+| F-8 | Configure output directory for saved images |
+| F-9 | Support FLUX.1-schnell as the default model |
+
+### 2.2 Non-Functional Requirements
+
+| ID | Requirement |
+|----|-------------|
+| NF-1 | Generation time < 30 seconds for FLUX.1-schnell at 1024×1024, 4 steps |
+| NF-2 | VRAM footprint < 12GB (leaves headroom on 24GB for Ollama co-existence) |
+| NF-3 | Must work on AMD ROCm — no CUDA-only dependencies in the MCP server layer |
+| NF-4 | No cloud API calls — fully local execution |
+| NF-5 | Graceful error messages when ComfyUI is not running |
+| NF-6 | MCP tools must work with FastMCP and be discoverable by Claude / Roo Code |
+
+---
+
+## 3. Technology Decision
+
+### 3.1 Candidate Backends
+
+| Backend | Stars | ROCm | REST API | FLUX Support | Verdict |
+|---------|-------|------|----------|--------------|---------|
+| **ComfyUI** | 108k | ✅ Native | ✅ localhost:8188 | ✅ FLUX.1-schnell, FLUX.1-dev | ✅ **CHOSEN** |
+| stable-diffusion.cpp | ~15k | ✅ ROCm/Vulkan | ❌ CLI only | ✅ FLUX.1-schnell | ⚠️ Viable alternative |
+| PyTorch + diffusers | — | ✅ ROCm 7.2.1 | ❌ No REST | ✅ All models | ❌ Too complex to manage |
+| Ollama image gen | — | ❌ Linux: N/A | ✅ /api/generate | ✅ FLUX.2, Z-Image | ❌ macOS-only as of April 2026 |
+| A1111 / Forge WebUI | — | ⚠️ Limited | ✅ :7860 | ❌ SDXL primary | ❌ Not FLUX-native |
+
+### 3.2 Why ComfyUI
+
+1. **ROCm native** — ComfyUI's PyTorch backend runs on AMD GPUs via ROCm without forks or patches.
+2. **REST API** — ComfyUI exposes a stable HTTP API at `localhost:8188` making it trivially
+   wrappable with `httpx`. No subprocess management or binary spawning needed.
+3. **Workflow-based** — ComfyUI workflows are JSON graphs. The MCP server ships a minimal
+   FLUX.1-schnell workflow that can be parameterized with prompt, size, steps, seed at runtime.
+4. **Model ecosystem** — ComfyUI's model manager supports FLUX.1, SDXL, SD3.5, ControlNet,
+   LoRA — giving a future-proof upgrade path.
+5. **Community size** — 108k GitHub stars; extensive community support, model nodes, extensions.
+6. **VRAM efficiency** — FLUX.1-schnell requires ~8GB VRAM. Patrick's 24GB card runs it
+   comfortably alongside Ollama.
+
+### 3.3 Why NOT the Alternatives
+
+- **Ollama:** Definitively blocked on Linux until further notice. No ETA for Linux image gen.
+- **stable-diffusion.cpp:** CLI-based only — the MCP server would need to manage a subprocess,
+  parse stdout, handle crashes. More fragile than an HTTP API.
+- **PyTorch + diffusers direct:** Requires managing Python environments, device placement, model
+  loading, memory management inside the MCP server process — adds significant complexity and
+  risk of VRAM conflicts.
+
+---
+
+## 4. Architecture Decision
+
+### 4.1 System Overview
+
+```
+┌─────────────────────────────────────────────────────────┐
+│  LLM Agent (Claude / Roo Code / local Ollama)           │
+└───────────────────────────┬─────────────────────────────┘
+                            │ MCP Protocol (stdio)
+┌───────────────────────────▼─────────────────────────────┐
+│  mcp-image-gen  (FastMCP Python server)                 │
+│                                                         │
+│  Tools:                                                 │
+│  • generate_image(prompt, width, height, steps, ...)    │
+│  • list_available_models()                              │
+│  • get_generation_status(prompt_id)                     │
+│  • get_output_directory()                               │
+└───────────────────────────┬─────────────────────────────┘
+                            │ HTTP REST (httpx)
+┌───────────────────────────▼─────────────────────────────┐
+│  ComfyUI (localhost:8188)                               │
+│  AMD ROCm + PyTorch                                     │
+│  FLUX.1-schnell model                                   │
+└─────────────────────────────────────────────────────────┘
+                            │
+                    ┌───────▼───────┐
+                    │  ~/Pictures/  │
+                    │  mcp-generated│
+                    └───────────────┘
+```
+
+### 4.2 Key Decisions
+
+| Decision | Choice | Rationale |
+|----------|--------|-----------|
+| HTTP client | `httpx` (async) | Already used in webscraper; async-friendly; clean timeout handling |
+| Image return | dual: path + base64 | File path for persistence; base64 `ImageContent` for inline Claude display |
+| ImageContent type | `mcp.types.ImageContent` | FastMCP 3.x: **never** use `fastmcp.utilities.types.Image` with `-> Image` annotation — it breaks serialization. Return `ImageContent` directly as a `ContentBlock`. |
+| Job polling | loop with sleep | ComfyUI `/api/queue` returns pending/running/done status; poll until done or timeout |
+| Workflow format | ComfyUI API JSON | Minimal FLUX.1-schnell graph parameterized at runtime |
+| Config | env vars | `COMFYUI_URL`, `IMAGE_OUTPUT_DIR` — no hardcoded paths |
+| Output naming | `{timestamp}_{seed}.png` | Reproducible, collision-free, sortable |
+
+---
+
+## 5. Risks
+
+| Risk | Likelihood | Impact | Mitigation |
+|------|------------|--------|------------|
+| ComfyUI not running when tool is called | High | High | Return clear error: "ComfyUI not reachable at {url}. Start with: `python main.py --listen`" |
+| Generation timeout (>60s) | Medium | Medium | Configurable timeout; return partial status message with `prompt_id` so agent can poll manually |
+| VRAM contention with Ollama | Medium | Medium | FLUX.1-schnell uses ~8GB; 24GB card has 16GB headroom. Document that running both simultaneously may compete at >8GB Ollama model sizes |
+| ROCm driver instability | Low | High | ComfyUI falls back to CPU if ROCm unavailable — slow but functional. Document ROCm setup. |
+| ComfyUI API changes | Low | Medium | Pin ComfyUI version in setup docs; the `/api/prompt`, `/api/queue`, `/api/view` endpoints are stable |
+| Large output files | Low | Low | PNG default; add optional JPEG quality param in v2 |
+| Malformed workflow JSON | Low | High | Ship a tested, minimal FLUX.1-schnell workflow; validate before submit |
+
+---
+
+## 6. Alternatives Considered
+
+### 6.1 Ollama (Blocked)
+Ollama added image generation in January 2026 (Z-Image Turbo, FLUX.2 Klein) but the feature is
+**macOS-only** as of April 2026. Linux support is listed as "coming soon" with no ETA. This was
+the originally preferred path (uniform API with text generation), but it is not viable on Fedora
+Linux today.
+
+**Migration path:** When Ollama Linux image gen ships, a thin backend adapter can be added to
+`mcp-image-gen` so it routes to Ollama instead of ComfyUI — same MCP tool signatures, different
+HTTP target.
+
+### 6.2 stable-diffusion.cpp
+DiffuGen MCP server uses this approach. Requires:
+- Building sd.cpp with ROCm/Vulkan flags
+- Spawning a subprocess and parsing CLI output
+- No REST API — process management in Python
+
+Viable but more fragile than ComfyUI's HTTP API. Chosen only if ComfyUI proves unworkable.
+
+### 6.3 diffusers (Python library, direct)
+Would run diffusion pipeline inside the MCP server process. Problems:
+- MCP server process cannot easily share GPU memory with Ollama
+- Model loading adds 5-15s cold start to every MCP invocation
+- Complex device placement / fp16 / ROCm configuration in server code
+- Risk: VRAM OOM crashes the MCP server process entirely
+
+---
+
+## 7. Success Criteria
+
+| Criterion | Measure |
+|-----------|---------|
+| `generate_image` returns a valid PNG | File exists on disk, base64 decodes to valid PNG bytes |
+| Claude can display the image inline | `ImageContent` returned in tool response, visible in Roo Code chat |
+| FLUX.1-schnell at 1024×1024 4-step completes in <30s | Measured on RX 7900 XTX with ROCm |
+| `list_available_models` returns ComfyUI model list | At minimum includes `flux1-schnell.safetensors` |
+| ComfyUI offline → clear error, not crash | Tool returns error string, no MCP server exception |
+| All pytest tests pass | `uv run pytest tests/ -v` exits 0 with ≥80% coverage |
+| Server wired into `.roo/mcp.json` | Tool appears in Roo Code MCP tool list |
+
+---
+
+## 8. Open Questions
+
+| # | Question | Owner | Priority |
+|---|----------|-------|----------|
+| Q1 | Should `generate_image` be synchronous (block until done) or return a `prompt_id` immediately? | Patrick | High — MVP will be synchronous; async polling is v2 |
+| Q2 | Default output directory: `~/Pictures/mcp-generated` or `~/mcp-images`? | Patrick | Low — configurable via env var |
+| Q3 | Should we support SDXL as a second model in v1, or FLUX.1-schnell only? | Patrick | Low — FLUX.1-schnell only for v1 |
+| Q4 | WebSocket API vs REST polling for job status? | — | ComfyUI has both; REST polling is simpler for v1 |
@@ -0,0 +1,496 @@
+# mcp-image-gen — Implementation Plan
+
+**Date:** 2026-04-04
+**Author:** Lumen (for Patrick / pplate)
+**Status:** Ready for implementation
+**Assessment:** [ASSESSMENT.md](./ASSESSMENT.md)
+**Research Session:** `39809470-6ac8-4713-adf2-79ac0eb36ba7`
+
+---
+
+## 1. Directory Structure
+
+```
+mcp/mcp-image-gen/
+├── ASSESSMENT.md               ← Architecture assessment (this session)
+├── PLAN.md                     ← This file
+├── README.md                   ← Usage docs, tool table, env vars
+├── pyproject.toml              ← uv project + deps
+├── run.sh                      ← Launch script (used by .roo/mcp.json)
+├── src/
+│   ├── __init__.py
+│   ├── server.py               ← FastMCP server + all tools
+│   └── workflows/
+│       └── flux_schnell.json   ← Minimal ComfyUI API-format workflow
+└── tests/
+    ├── __init__.py
+    ├── conftest.py             ← sys.path + shared fixtures
+    └── test_server.py          ← All tool tests (mocked ComfyUI)
+```
+
+---
+
+## 2. Tool Definitions
+
+### 2.1 `generate_image`
+
+```python
+@mcp.tool()
+async def generate_image(
+    prompt: str,
+    width: int = 1024,
+    height: int = 1024,
+    steps: int = 4,
+    model: str = "flux1-schnell.safetensors",
+    seed: int = -1,
+    negative_prompt: str = "",
+    output_dir: str = "",
+) -> list:
+    """
+    Generate an image from a text prompt using ComfyUI.
+
+    Returns both a file path (for persistence) and an inline base64 image
+    (for display in Claude / Roo Code chat).
+
+    Args:
+        prompt:          Text description of the image to generate.
+        width:           Image width in pixels (default: 1024).
+        height:          Image height in pixels (default: 1024).
+        steps:           Number of inference steps. FLUX.1-schnell works well at 4.
+        model:           ComfyUI model filename (default: flux1-schnell.safetensors).
+        seed:            Random seed for reproducibility. -1 = random.
+        negative_prompt: Things to exclude from the image (optional).
+        output_dir:      Override output directory. Defaults to IMAGE_OUTPUT_DIR env var
+                         or ~/Pictures/mcp-generated.
+
+    Returns:
+        [TextContent(path + metadata), ImageContent(base64 PNG)]
+    """
+```
+
+**Return type:** `list` containing:
+1. `mcp.types.TextContent` — human-readable summary with file path, seed, elapsed time
+2. `mcp.types.ImageContent` — `type="image"`, `data=base64_encoded_png`, `mimeType="image/png"`
+
+> ⚠️ **FastMCP 3.x rule:** NEVER annotate return as `-> Image` (fastmcp utility type). It triggers
+> `output_schema` generation which breaks the early-return path. Return `mcp.types.ImageContent`
+> directly as part of a `list` — it is a `ContentBlock` and passes through cleanly.
+
+---
+
+### 2.2 `list_available_models`
+
+```python
+@mcp.tool()
+async def list_available_models() -> str:
+    """
+    List all checkpoint models available in ComfyUI.
+
+    Returns a newline-separated list of model filenames.
+    Requires ComfyUI to be running at COMFYUI_URL.
+    """
+```
+
+**Implementation:** `GET {COMFYUI_URL}/object_info/CheckpointLoaderSimple` → parse
+`input.required.ckpt_name[0]` list → join with newlines.
+
+---
+
+### 2.3 `get_generation_status`
+
+```python
+@mcp.tool()
+async def get_generation_status(prompt_id: str) -> str:
+    """
+    Check the status of a queued or running generation job.
+
+    Args:
+        prompt_id: The prompt ID returned by a previous generate_image call.
+
+    Returns:
+        Status string: "pending", "running", "completed", or "not_found".
+    """
+```
+
+**Implementation:** `GET {COMFYUI_URL}/api/queue` → check `queue_running` and `queue_pending`
+lists for matching `prompt_id`. If not found in either, check history endpoint.
+
+---
+
+### 2.4 `get_output_directory`
+
+```python
+@mcp.tool()
+def get_output_directory() -> str:
+    """
+    Return the directory where generated images are saved.
+
+    Returns:
+        Absolute path to the output directory.
+    """
+```
+
+**Implementation:** Resolve `IMAGE_OUTPUT_DIR` env var or default `~/Pictures/mcp-generated`,
+expand `~`, return as string.
+
+---
+
+## 3. ComfyUI Integration
+
+### 3.1 Workflow: Submit → Poll → Retrieve
+
+```
+generate_image()
+    │
+    ├── 1. Load flux_schnell.json workflow template
+    ├── 2. Parameterize: inject prompt, width, height, steps, seed, model
+    ├── 3. POST {COMFYUI_URL}/api/prompt  →  {"prompt_id": "uuid"}
+    │
+    ├── 4. POLL loop (max 120s, sleep 2s between)
+    │       GET {COMFYUI_URL}/api/queue
+    │       → check queue_running[].prompt_id == our id
+    │       → check queue_pending[].prompt_id == our id
+    │       → if neither: job is done
+    │
+    ├── 5. GET {COMFYUI_URL}/api/history/{prompt_id}
+    │       → find output image filename + subfolder
+    │
+    ├── 6. GET {COMFYUI_URL}/api/view?filename={name}&subfolder={subfolder}&type=output
+    │       → raw PNG bytes
+    │
+    ├── 7. Save PNG to output_dir/{timestamp}_{seed}.png
+    └── 8. Return [TextContent(path + meta), ImageContent(base64)]
+```
+
+### 3.2 API Endpoints Used
+
+| Endpoint | Method | Purpose |
+|----------|--------|---------|
+| `/api/prompt` | POST | Submit workflow for generation |
+| `/api/queue` | GET | Poll queue status (pending + running) |
+| `/api/history/{prompt_id}` | GET | Get completed job output filenames |
+| `/api/view` | GET | Download image bytes by filename |
+| `/object_info/CheckpointLoaderSimple` | GET | List available checkpoint models |
+
+### 3.3 Error Handling
+
+| Condition | Response |
+|-----------|----------|
+| ComfyUI unreachable | `"ComfyUI not reachable at {url}. Start it with: python main.py --listen"` |
+| Timeout (>120s) | `"Generation timed out after 120s. prompt_id={id} — use get_generation_status to check"` |
+| ComfyUI returns error in history | Extract and return the error message from history response |
+| Invalid model name | ComfyUI returns error in history; surface it clearly |
+| Output dir not writable | `"Cannot write to output directory: {path}"` |
+
+---
+
+## 4. Configuration
+
+All configuration via environment variables. No hardcoded paths.
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `COMFYUI_URL` | `http://localhost:8188` | Base URL of running ComfyUI instance |
+| `IMAGE_OUTPUT_DIR` | `~/Pictures/mcp-generated` | Where to save generated PNG files |
+| `COMFYUI_TIMEOUT` | `120` | Max seconds to wait for generation (int) |
+
+### `.roo/mcp.json` entry (to be added during implementation):
+
+```json
+"mcp-image-gen": {
+  "command": "uv",
+  "args": [
+    "--directory", "/home/pplate/pi_mcps/mcp/mcp-image-gen",
+    "run", "src/server.py"
+  ],
+  "env": {
+    "COMFYUI_URL": "http://localhost:8188",
+    "IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated"
+  }
+}
+```
+
+---
+
+## 5. `pyproject.toml`
+
+```toml
+[project]
+name = "mcp-image-gen"
+version = "0.1.0"
+requires-python = ">=3.11"
+description = "MCP server for local AI image generation via ComfyUI"
+dependencies = [
+    "fastmcp>=0.1.0",
+    "httpx>=0.27.0",
+    "pillow>=10.0.0",
+]
+
+[project.optional-dependencies]
+test = [
+    "pytest>=7.0",
+    "pytest-mock>=3.0",
+    "pytest-cov>=4.0",
+    "pytest-asyncio>=0.23",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+```
+
+**Dependency rationale:**
+- `fastmcp` — MCP framework
+- `httpx` — async HTTP client for ComfyUI REST API
+- `pillow` — validate PNG output, potential future thumbnail generation
+- `pytest-asyncio` — needed for async tool tests
+
+---
+
+## 6. FLUX.1-schnell Workflow JSON
+
+The minimal ComfyUI API-format workflow for FLUX.1-schnell text-to-image.
+This is the "API format" (node-graph JSON), not the UI export format.
+
+File: `src/workflows/flux_schnell.json`
+
+```json
+{
+  "6": {
+    "class_type": "CLIPTextEncode",
+    "inputs": {
+      "clip": ["30", 1],
+      "text": "PROMPT_PLACEHOLDER"
+    }
+  },
+  "8": {
+    "class_type": "VAEDecode",
+    "inputs": {
+      "samples": ["13", 0],
+      "vae": ["30", 2]
+    }
+  },
+  "9": {
+    "class_type": "SaveImage",
+    "inputs": {
+      "filename_prefix": "mcp-image-gen",
+      "images": ["8", 0]
+    }
+  },
+  "13": {
+    "class_type": "KSampler",
+    "inputs": {
+      "cfg": 1.0,
+      "denoise": 1.0,
+      "latent_image": ["27", 0],
+      "model": ["30", 0],
+      "negative": ["33", 0],
+      "positive": ["6", 0],
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "seed": 42,
+      "steps": 4
+    }
+  },
+  "27": {
+    "class_type": "EmptySD3LatentImage",
+    "inputs": {
+      "batch_size": 1,
+      "height": 1024,
+      "width": 1024
+    }
+  },
+  "30": {
+    "class_type": "CheckpointLoaderSimple",
+    "inputs": {
+      "ckpt_name": "flux1-schnell.safetensors"
+    }
+  },
+  "33": {
+    "class_type": "CLIPTextEncode",
+    "inputs": {
+      "clip": ["30", 1],
+      "text": "NEGATIVE_PLACEHOLDER"
+    }
+  }
+}
+```
+
+**Parameterization at runtime** (in `server.py`):
+
+```python
+import json, copy
+
+def _build_workflow(prompt, negative_prompt, width, height, steps, seed, model):
+    with open(Path(__file__).parent / "workflows/flux_schnell.json") as f:
+        wf = json.load(f)
+    wf = copy.deepcopy(wf)
+    wf["6"]["inputs"]["text"] = prompt
+    wf["33"]["inputs"]["text"] = negative_prompt
+    wf["27"]["inputs"]["width"] = width
+    wf["27"]["inputs"]["height"] = height
+    wf["13"]["inputs"]["steps"] = steps
+    wf["13"]["inputs"]["seed"] = seed if seed != -1 else random.randint(0, 2**32 - 1)
+    wf["30"]["inputs"]["ckpt_name"] = model
+    return wf
+```
+
+---
+
+## 7. Testing Strategy
+
+### 7.1 Test Structure (`tests/test_server.py`)
+
+All tests mock `httpx.AsyncClient` — no real ComfyUI needed.
+
+| Test | Description |
+|------|-------------|
+| `test_generate_image_happy_path` | Mock submit → poll done → history → view → returns TextContent + ImageContent |
+| `test_generate_image_comfyui_offline` | httpx.ConnectError → returns clear error string |
+| `test_generate_image_timeout` | Poll loop exceeds COMFYUI_TIMEOUT → returns timeout message with prompt_id |
+| `test_generate_image_saves_file` | Verify PNG written to output_dir with correct filename pattern |
+| `test_generate_image_random_seed` | seed=-1 → seed in output filename is a valid integer |
+| `test_generate_image_custom_params` | Non-default width/height/steps/model passed through to workflow |
+| `test_generate_image_returns_image_content` | Second item in result list is `mcp.types.ImageContent` with valid base64 |
+| `test_list_available_models_happy_path` | Mock object_info response → returns model name list |
+| `test_list_available_models_offline` | ConnectError → returns error string |
+| `test_get_generation_status_pending` | prompt_id found in queue_pending → "pending" |
+| `test_get_generation_status_running` | prompt_id found in queue_running → "running" |
+| `test_get_generation_status_not_found` | prompt_id not in queue, not in history → "not_found" |
+| `test_get_output_directory_default` | No env var → returns expanded ~/Pictures/mcp-generated |
+| `test_get_output_directory_custom` | IMAGE_OUTPUT_DIR set → returns that path |
+| `test_build_workflow_parameterization` | _build_workflow() injects all params correctly into JSON |
+
+### 7.2 conftest.py fixtures
+
+```python
+import sys
+from pathlib import Path
+import pytest
+
+sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
+
+@pytest.fixture
+def mock_comfyui_submit_response():
+    return {"prompt_id": "test-uuid-1234"}
+
+@pytest.fixture
+def mock_comfyui_queue_empty():
+    return {"queue_running": [], "queue_pending": []}
+
+@pytest.fixture
+def mock_comfyui_history():
+    return {
+        "test-uuid-1234": {
+            "outputs": {
+                "9": {
+                    "images": [{"filename": "mcp-image-gen_00001_.png", "subfolder": "", "type": "output"}]
+                }
+            }
+        }
+    }
+
+@pytest.fixture
+def sample_png_bytes():
+    """Minimal valid 1x1 PNG in bytes."""
+    import base64
+    # 1x1 red pixel PNG
+    data = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwADhQGAWjR9awAAAABJRU5ErkJggg=="
+    return base64.b64decode(data)
+```
+
+### 7.3 Run command
+
+```bash
+cd mcp/mcp-image-gen && uv run pytest tests/ -v --cov=src --cov-report=term-missing
+```
+
+---
+
+## 8. `run.sh`
+
+```bash
+#!/usr/bin/env bash
+BASEDIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+export PATH="$HOME/.local/bin:$PATH"
+
+# Create output dir if it doesn't exist
+OUTPUT_DIR="${IMAGE_OUTPUT_DIR:-$HOME/Pictures/mcp-generated}"
+mkdir -p "$OUTPUT_DIR"
+
+cd "$BASEDIR"
+exec uv run src/server.py
+```
+
+---
+
+## 9. Future: Ollama Migration Path
+
+When Ollama adds Linux image generation support (ETA unknown, announced "coming soon" April 2026):
+
+### Adapter pattern (no breaking changes to MCP tool signatures)
+
+```python
+BACKEND = os.getenv("IMAGE_BACKEND", "comfyui")  # or "ollama"
+
+async def _generate_comfyui(prompt, width, height, steps, model, seed, negative_prompt, output_dir):
+    # current ComfyUI implementation
+    ...
+
+async def _generate_ollama(prompt, width, height, steps, model, seed, negative_prompt, output_dir):
+    # POST http://localhost:11434/api/generate
+    # with model=Z-Image-Turbo or FLUX.2-Klein
+    # width, height, steps in request body
+    # save returned image path
+    ...
+
+@mcp.tool()
+async def generate_image(prompt, width=1024, height=1024, steps=4, ...):
+    if BACKEND == "ollama":
+        return await _generate_ollama(...)
+    return await _generate_comfyui(...)
+```
+
+**No changes to:** tool signatures, return types, env vars (add `IMAGE_BACKEND`), tests structure.
+
+---
+
+## 10. Implementation Order (for Code mode)
+
+1. `src/workflows/flux_schnell.json` — write and validate JSON structure
+2. `pyproject.toml` — set up project + deps
+3. `src/__init__.py` — empty
+4. `src/server.py` — implement all 4 tools + `_build_workflow` + polling helpers
+5. `tests/conftest.py` — fixtures + sys.path
+6. `tests/test_server.py` — all 15 tests
+7. `run.sh` — launch script
+8. `README.md` — usage docs
+9. `.roo/mcp.json` — wire server in (requires switching to Code or Homelab mode for that file)
+10. `uv sync && uv run pytest tests/ -v` — confirm all tests pass
+
+---
+
+## 11. ComfyUI Setup Notes (for README)
+
+These are prerequisites for the MCP server to work. Patrick must have ComfyUI installed:
+
+```bash
+# Install ComfyUI (ROCm/AMD)
+pip install comfyui
+
+# Download FLUX.1-schnell model (~8GB)
+# Place in ComfyUI/models/checkpoints/flux1-schnell.safetensors
+# Source: https://huggingface.co/black-forest-labs/FLUX.1-schnell
+
+# Start ComfyUI with AMD ROCm
+HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py --listen
+
+# Verify API is running
+curl http://localhost:8188/system_stats
+```
+
+> The `HSA_OVERRIDE_GFX_VERSION=11.0.0` env var may be needed for RX 7900 XTX (gfx1100)
+> to identify correctly to ROCm libraries.
@@ -0,0 +1,178 @@
+# mcp-image-gen
+
+**FastMCP server for AI image generation via ComfyUI.**
+
+This MCP server wraps a locally running [ComfyUI](https://github.com/comfyanonymous/ComfyUI) instance, exposing image generation as MCP tools callable from Roo Code, Claude Desktop, or any MCP-compatible client. It supports FLUX.1-schnell, FLUX.1-dev, SDXL, and any other ComfyUI-compatible checkpoint model. Generated images are saved to disk **and** returned as inline base64 so Claude can display them directly in chat.
+
+---
+
+## Prerequisites
+
+1. **ComfyUI** installed and running at `http://localhost:8188`
+2. At least one checkpoint model downloaded (see ComfyUI Setup below)
+3. **Python 3.11+** and **uv** installed on the system
+
+---
+
+## Installation
+
+```bash
+cd mcp/mcp-image-gen
+uv sync
+```
+
+---
+
+## Configuration
+
+All configuration is via environment variables:
+
+| Variable | Default | Description |
+|---|---|---|
+| `COMFYUI_URL` | `http://localhost:8188` | Base URL of the running ComfyUI instance |
+| `IMAGE_OUTPUT_DIR` | `~/Pictures/mcp-generated` | Directory where generated PNG files are saved |
+| `COMFYUI_TIMEOUT` | `120` | Max seconds to wait for generation before timeout |
+
+---
+
+## Usage
+
+### Add to `.roo/mcp.json` (Roo Code)
+
+```json
+"mcp-image-gen": {
+  "command": "uv",
+  "args": [
+    "--directory", "/home/pplate/pi_mcps/mcp/mcp-image-gen",
+    "run", "src/server.py"
+  ],
+  "env": {
+    "COMFYUI_URL": "http://localhost:8188",
+    "IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated"
+  }
+}
+```
+
+### Add to Claude Desktop (`claude_desktop_config.json`)
+
+```json
+{
+  "mcpServers": {
+    "mcp-image-gen": {
+      "command": "uv",
+      "args": [
+        "--directory", "/home/pplate/pi_mcps/mcp/mcp-image-gen",
+        "run", "src/server.py"
+      ],
+      "env": {
+        "COMFYUI_URL": "http://localhost:8188",
+        "IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated"
+      }
+    }
+  }
+}
+```
+
+### Run directly
+
+```bash
+cd mcp/mcp-image-gen
+./run.sh
+```
+
+---
+
+## Available Tools
+
+| Tool | Description |
+|---|---|
+| `generate_image` | Generate an image from a text prompt. Returns file path + inline base64 PNG. |
+| `list_available_models` | List all checkpoint models loaded in ComfyUI. |
+| `get_generation_status` | Check status of a running/queued generation by `prompt_id`. |
+| `get_output_directory` | Return the current output directory path. |
+
+### `generate_image` parameters
+
+| Parameter | Default | Description |
+|---|---|---|
+| `prompt` | *(required)* | Text description of the image |
+| `width` | `1024` | Image width in pixels |
+| `height` | `1024` | Image height in pixels |
+| `steps` | `4` | Inference steps (FLUX.1-schnell: 4 is optimal) |
+| `model` | `flux1-schnell.safetensors` | Checkpoint model filename |
+| `seed` | `-1` | Seed for reproducibility (`-1` = random) |
+| `negative_prompt` | `""` | Things to exclude from the image |
+| `output_dir` | *(IMAGE_OUTPUT_DIR)* | Override output directory |
+
+---
+
+## ComfyUI Setup (Fedora + AMD ROCm)
+
+```bash
+# Install ComfyUI
+pip install comfyui
+
+# Download FLUX.1-schnell model (~8GB, Apache 2.0)
+# Place in: ComfyUI/models/checkpoints/flux1-schnell.safetensors
+# Source: https://huggingface.co/black-forest-labs/FLUX.1-schnell
+
+# Start ComfyUI with ROCm support for AMD RX 7900 XTX
+HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py --listen
+
+# Verify the API is reachable
+curl http://localhost:8188/system_stats
+```
+
+> **Note:** `HSA_OVERRIDE_GFX_VERSION=11.0.0` may be needed for the RX 7900 XTX (gfx1100)
+> to be recognized correctly by ROCm libraries.
+
+### PyTorch with ROCm (if needed separately)
+
+```bash
+pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.1
+```
+
+---
+
+## Testing
+
+```bash
+cd mcp/mcp-image-gen
+uv run pytest tests/ -v
+```
+
+All tests mock the ComfyUI HTTP API — no running ComfyUI instance needed.
+
+---
+
+## Ollama Migration Path
+
+When Ollama adds Linux image generation support (announced "coming soon" as of April 2026, currently macOS-only), this server can switch backends via a single env var:
+
+```bash
+IMAGE_BACKEND=ollama  # currently only "comfyui" is implemented
+```
+
+The tool signatures, return types, and MCP interface will remain unchanged — only the underlying HTTP calls switch from ComfyUI to Ollama's `/api/generate` endpoint.
+
+---
+
+## Architecture
+
+```
+Roo Code / Claude Desktop
+        │
+        │ MCP (stdio)
+        ▼
+  mcp-image-gen (FastMCP)
+        │
+        │ HTTP REST
+        ▼
+  ComfyUI @ localhost:8188
+        │
+        │ ROCm / AMD GPU
+        ▼
+  FLUX.1-schnell / SDXL / SD3.5
+```
+
+The server submits a FLUX.1-schnell ComfyUI API-format workflow, polls until complete, downloads the PNG, saves it to disk, and returns both a text summary and a base64-encoded inline image.
@@ -0,0 +1,619 @@
+# mcp-image-gen — Usage Guide
+
+> **Comprehensive reference for using the ComfyUI-backed image generation MCP server**
+
+---
+
+## Table of Contents
+
+1. [Prerequisites — ComfyUI Setup](#1-prerequisites--comfyui-setup)
+2. [Quick Start — Running the MCP Server](#2-quick-start--running-the-mcp-server)
+3. [How to Ask Lumen to Generate Images](#3-how-to-ask-lumen-to-generate-images)
+4. [Available Tools](#4-available-tools)
+5. [Parameters Reference](#5-parameters-reference)
+6. [Output Format](#6-output-format)
+7. [Environment Variables](#7-environment-variables)
+8. [Test Status](#8-test-status)
+9. [Prompt Tips for FLUX.1-schnell](#9-prompt-tips-for-flux1-schnell)
+10. [Known Limitations](#10-known-limitations)
+
+---
+
+## 1. Prerequisites — ComfyUI Setup
+
+### ComfyUI must be running before any image generation tool call succeeds.
+
+The MCP server connects to ComfyUI's REST API at `http://localhost:8188`. If ComfyUI is not running, `generate_image` and `list_available_models` will return a graceful error message — no crash.
+
+### Install ComfyUI
+
+> ⚠️ **ComfyUI is NOT on PyPI** — `pip install comfyui` will fail with "No matching distribution found".
+> It must be installed from source via `git clone`.
+
+```bash
+# Clone from source (the only correct installation method)
+git clone https://github.com/comfyanonymous/ComfyUI.git
+cd ComfyUI
+pip install -r requirements.txt
+```
+
+### Install PyTorch with ROCm (AMD RX 7900 XTX)
+
+Patrick's RX 7900 XTX (gfx1100, 24GB VRAM) uses the ROCm backend. Standard CUDA builds **will not work** on AMD hardware.
+
+```bash
+# PyTorch with ROCm 6.1 support
+pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.1
+```
+
+> **ROCm version note:** ROCm 7.2.1 is the current production release as of April 2026.
+> Check `rocm-smi` to confirm your ROCm version before installing torch.
+
+### Download FLUX.1-schnell (Primary Model)
+
+FLUX.1-schnell is the recommended model — fast (4 steps), Apache 2.0 licensed, excellent quality.
+
+> ⚠️ **FLUX.1-schnell is a gated model on HuggingFace.**
+> A bare `wget` on the URL returns HTTP 401. You must:
+> 1. Accept the license at https://huggingface.co/black-forest-labs/FLUX.1-schnell (click **"Agree and access repository"** — one-time)
+> 2. Create a HuggingFace access token with **Read** permissions at https://huggingface.co/settings/tokens
+
+#### Option A — `huggingface-cli` (recommended)
+
+```bash
+# Install the HuggingFace Hub CLI
+pip install huggingface_hub
+
+# Log in — paste your Read token when prompted
+huggingface-cli login
+
+# Download (~8GB) directly into ComfyUI checkpoints
+huggingface-cli download black-forest-labs/FLUX.1-schnell \
+    flux1-schnell.safetensors \
+    --local-dir ~/ComfyUI/models/checkpoints/
+```
+
+#### Option B — `wget` with Authorization header
+
+```bash
+wget --header="Authorization: Bearer hf_YOUR_TOKEN_HERE" \
+  https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors \
+  -O ~/ComfyUI/models/checkpoints/flux1-schnell.safetensors
+```
+
+> Replace `hf_YOUR_TOKEN_HERE` with your actual HuggingFace token from https://huggingface.co/settings/tokens
+
+#### Alternative: fp8 quantized variant (~8.1GB, faster inference)
+
+If you want slightly faster inference with near-identical quality, the fp8 quantized version is also available:
+
+```bash
+huggingface-cli download black-forest-labs/FLUX.1-schnell-fp8 \
+    flux1-schnell-fp8.safetensors \
+    --local-dir ~/ComfyUI/models/checkpoints/
+```
+
+> **Download note:** Both variants are ~8GB — expect 10–30 minutes depending on connection speed.
+
+You'll also need the CLIP and VAE models — see the [ComfyUI FLUX guide](https://github.com/comfyanonymous/ComfyUI/blob/master/README.md) for full model list.
+
+### Start ComfyUI (AMD ROCm)
+
+```bash
+# Standard start — listens on all interfaces at port 8188
+HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py --listen
+
+# Or with explicit port
+HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py --listen --port 8188
+```
+
+> **`HSA_OVERRIDE_GFX_VERSION=11.0.0`** — Required for RX 7900 XTX (gfx1100).
+> Without this, ROCm may fail to detect the GPU correctly. This tells the HIP runtime
+> to treat the GPU as gfx1100 architecture.
+
+### Verify ComfyUI is Running
+
+```bash
+curl -s http://localhost:8188/system_stats | python3 -m json.tool | head -20
+```
+
+Expected response includes `system` object with `python_version`, `pytorch_version`, `embedded_python`, and `comfyui_version`.
+
+---
+
+## 2. Quick Start — Running the MCP Server
+
+### Via `run.sh` (recommended)
+
+```bash
+cd /home/pplate/pi_mcps/mcp/mcp-image-gen
+./run.sh
+```
+
+[`run.sh`](run.sh) automatically:
+- Sets `PATH` to include `~/.local/bin` for `uv`
+- Creates `IMAGE_OUTPUT_DIR` (`~/Pictures/mcp-generated`) if it doesn't exist
+- Launches the FastMCP server via `uv run src/server.py` (stdio transport)
+
+### Via uv directly
+
+```bash
+cd /home/pplate/pi_mcps/mcp/mcp-image-gen
+uv run src/server.py
+```
+
+### Wired into `.roo/mcp.json`
+
+The server is already configured in [`.roo/mcp.json`](../../.roo/mcp.json):
+
+```json
+"mcp-image-gen": {
+  "command": "uv",
+  "args": [
+    "--directory", "/home/pplate/pi_mcps/mcp/mcp-image-gen",
+    "run", "src/server.py"
+  ],
+  "env": {
+    "COMFYUI_URL": "http://localhost:8188",
+    "IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated"
+  }
+}
+```
+
+Roo Code / Claude Desktop will auto-start the server when any image generation tool is invoked. The MCP server itself starts in ~1 second — ComfyUI must already be running separately.
+
+### Install dependencies (first time)
+
+```bash
+cd /home/pplate/pi_mcps/mcp/mcp-image-gen
+uv sync
+```
+
+---
+
+## 3. How to Ask Lumen to Generate Images
+
+Just speak naturally. Lumen will call the appropriate MCP tool automatically.
+
+### Basic generation
+
+> *"Generate an image of a futuristic city at sunset"*
+
+```
+→ generate_image(prompt="futuristic city at sunset", width=1024, height=1024, steps=4)
+```
+
+### Specific style and size
+
+> *"Create a portrait of a red fox in watercolor style, 1024x1024"*
+
+```
+→ generate_image(
+    prompt="portrait of a red fox, watercolor style, detailed fur, soft brushstrokes",
+    width=1024, height=1024
+  )
+```
+
+### Reproducible with a fixed seed
+
+> *"Make an image with seed 42 so I can reproduce it"*
+
+```
+→ generate_image(prompt="...", seed=42)
+```
+
+The seed is reported in the text output so you can use the same seed again.
+
+### Landscape format
+
+> *"Generate a wide cinematic landscape of a Norwegian fjord, 1920x1080"*
+
+```
+→ generate_image(prompt="Norwegian fjord, cinematic, golden hour", width=1920, height=1080)
+```
+
+### Excluding unwanted elements
+
+> *"Generate a clean product photo of a coffee mug, no background clutter, no text"*
+
+```
+→ generate_image(
+    prompt="product photo of a ceramic coffee mug, studio lighting, white background",
+    negative_prompt="clutter, text, watermark, blurry, shadows"
+  )
+```
+
+### More inference steps for higher quality
+
+> *"Generate a highly detailed oil painting of a medieval castle, use 20 steps"*
+
+```
+→ generate_image(
+    prompt="oil painting of a medieval castle, highly detailed, dramatic lighting",
+    steps=20,
+    model="flux1-dev.safetensors"   # FLUX.1-dev supports higher step counts better
+  )
+```
+
+### Check what models are available
+
+> *"List what models are available in ComfyUI"*
+
+```
+→ list_available_models()
+```
+
+### Check status of a long-running job
+
+> *"What's the status of prompt ID abc-123?"*
+
+```
+→ get_generation_status(prompt_id="abc-123")
+```
+
+### Find out where images are saved
+
+> *"Where are my generated images being saved?"*
+
+```
+→ get_output_directory()
+```
+
+---
+
+## 4. Available Tools
+
+### `generate_image`
+
+Generate an image from a text prompt using ComfyUI's FLUX.1-schnell workflow.
+
+**Full signature:**
+```python
+async def generate_image(
+    prompt: str,
+    width: int = 1024,
+    height: int = 1024,
+    steps: int = 4,
+    model: str = "flux1-schnell.safetensors",
+    seed: int = -1,
+    negative_prompt: str = "",
+    output_dir: str = "",
+) -> list[TextContent | ImageContent]
+```
+
+**What it does:**
+1. Loads the bundled `flux_schnell.json` ComfyUI API workflow template
+2. Injects your prompt, dimensions, seed, model into the correct workflow nodes
+3. Submits the workflow to ComfyUI via `POST /api/prompt`
+4. Polls `/api/queue` every 2 seconds until the job leaves the queue
+5. Fetches history via `/api/history/{prompt_id}` to find the output filename
+6. Downloads the PNG from `/api/view`
+7. Saves the PNG to disk as `YYYYMMDD_HHMMSS_{seed}.png`
+8. Returns `[TextContent(path + metadata), ImageContent(base64 PNG)]`
+
+---
+
+### `list_available_models`
+
+List all checkpoint models currently available in ComfyUI.
+
+```python
+async def list_available_models() -> list[str]
+```
+
+Calls `/object_info/CheckpointLoaderSimple` and extracts the checkpoint name list. Use this to discover what models are installed before passing a `model` name to `generate_image`.
+
+**Example return:**
+```json
+["flux1-schnell.safetensors", "flux1-dev.safetensors", "sd_xl_base_1.0.safetensors"]
+```
+
+---
+
+### `get_generation_status`
+
+Check the status of a queued or running generation job.
+
+```python
+async def get_generation_status(prompt_id: str) -> dict
+```
+
+**Return values:**
+
+| `status` | Meaning |
+|---|---|
+| `"pending"` | Job is in the queue, not yet started |
+| `"running"` | Job is currently being processed |
+| `"completed"` | Job finished — image is in ComfyUI's history |
+| `"not_found"` | Unknown prompt_id — may have expired from history |
+| `"error"` | ComfyUI was unreachable |
+
+Useful when `generate_image` times out (default 120s) — the job may still be running in ComfyUI.
+
+---
+
+### `get_output_directory`
+
+Return the absolute path where generated images will be saved.
+
+```python
+def get_output_directory() -> str
+```
+
+Returns the expanded, absolute path derived from `IMAGE_OUTPUT_DIR` env var (or `~/Pictures/mcp-generated` default). The directory may not exist yet — `generate_image` creates it on first use.
+
+---
+
+## 5. Parameters Reference
+
+Full parameter table for `generate_image`:
+
+| Parameter | Type | Default | Description |
+|---|---|---|---|
+| `prompt` | `str` | *(required)* | Text description of the image. Goes into the positive CLIP text encoder node. |
+| `width` | `int` | `1024` | Image width in pixels. FLUX.1-schnell: 512–2048 recommended. |
+| `height` | `int` | `1024` | Image height in pixels. FLUX.1-schnell: 512–2048 recommended. |
+| `steps` | `int` | `4` | Number of KSampler inference steps. FLUX.1-schnell is designed for 1–8 steps. |
+| `model` | `str` | `"flux1-schnell.safetensors"` | Checkpoint model filename as listed by `list_available_models`. |
+| `seed` | `int` | `-1` | RNG seed for reproducibility. `-1` = new random seed each call (0 to 2³²−1). |
+| `negative_prompt` | `str` | `""` | Text description of things to exclude. Goes into negative CLIP encoder node. |
+| `output_dir` | `str` | `""` | Override save directory. Empty = uses `IMAGE_OUTPUT_DIR` env var or default. |
+
+### Recommended dimensions
+
+| Use case | Width | Height |
+|---|---|---|
+| Square (default) | 1024 | 1024 |
+| Portrait | 768 | 1024 |
+| Landscape | 1024 | 768 |
+| Widescreen | 1280 | 720 |
+| HD widescreen | 1920 | 1080 |
+| Tall portrait | 512 | 768 |
+
+> **VRAM note:** Patrick's RX 7900 XTX has 24GB VRAM. FLUX.1-schnell requires ~8GB,
+> so you can comfortably run 1920×1080 and even larger. FLUX.1-dev requires ~12GB.
+
+---
+
+## 6. Output Format
+
+`generate_image` returns a list with **two items** when successful:
+
+### Item 1 — `TextContent` (file path + metadata)
+
+```
+Generated: /home/pplate/Pictures/mcp-generated/20260404_121500_3847291045.png
+Seed: 3847291045
+Elapsed: 8.3s
+Size: 1024x1024, Steps: 4, Model: flux1-schnell.safetensors
+```
+
+The filename format is `YYYYMMDD_HHMMSS_{seed}.png` — the seed is embedded so you can reproduce the exact image by passing it back as the `seed` parameter.
+
+### Item 2 — `ImageContent` (inline base64 PNG)
+
+The image displays **directly in Roo Code / Claude Desktop chat** as an inline image — no need to open a file browser. The same PNG is also saved to disk at the path shown in the TextContent.
+
+```json
+{
+  "type": "image",
+  "mimeType": "image/png",
+  "data": "<base64-encoded PNG bytes>"
+}
+```
+
+### Error responses
+
+When ComfyUI is unreachable or an error occurs, only **one** `TextContent` is returned (no ImageContent):
+
+```
+ComfyUI not reachable at http://localhost:8188. Start it with: python main.py --listen
+```
+
+```
+Generation timed out after 120s. prompt_id=abc-123 — use get_generation_status to check
+```
+
+---
+
+## 7. Environment Variables
+
+Configure via environment variables in [`.roo/mcp.json`](../../.roo/mcp.json) or shell:
+
+| Variable | Default | Description |
+|---|---|---|
+| `COMFYUI_URL` | `http://localhost:8188` | Base URL of the running ComfyUI REST API. Change this if ComfyUI runs on a different host or port. |
+| `IMAGE_OUTPUT_DIR` | `~/Pictures/mcp-generated` | Directory where generated PNG files are saved. Supports `~` expansion. Created automatically on first generation. |
+| `COMFYUI_TIMEOUT` | `120` | Maximum seconds to wait for a generation job before returning a timeout error. Increase for very large images or slow hardware. |
+
+### Setting via shell
+
+```bash
+export COMFYUI_URL="http://localhost:8188"
+export IMAGE_OUTPUT_DIR="/home/pplate/Pictures/ai-art"
+export COMFYUI_TIMEOUT="300"
+./run.sh
+```
+
+### Setting via mcp.json env block
+
+```json
+"mcp-image-gen": {
+  "command": "uv",
+  "args": ["--directory", "/home/pplate/pi_mcps/mcp/mcp-image-gen", "run", "src/server.py"],
+  "env": {
+    "COMFYUI_URL": "http://localhost:8188",
+    "IMAGE_OUTPUT_DIR": "/home/pplate/Pictures/mcp-generated",
+    "COMFYUI_TIMEOUT": "120"
+  }
+}
+```
+
+---
+
+## 8. Test Status
+
+**19 pytest tests — all passing.** Tests mock all ComfyUI HTTP calls using [respx](https://lundberg.github.io/respx/). No running ComfyUI instance is needed to run the tests.
+
+```bash
+cd /home/pplate/pi_mcps/mcp/mcp-image-gen
+uv run pytest tests/ -v
+```
+
+### Test coverage breakdown
+
+| Test file | Tests | Coverage area |
+|---|---|---|
+| [`tests/test_server.py`](tests/test_server.py) | 19 | All 4 tools + workflow builder |
+
+| Test name | What it verifies |
+|---|---|
+| `test_build_flux_workflow_structure` | Workflow has correct node class_types |
+| `test_build_flux_workflow_params_injected` | All params injected into correct nodes |
+| `test_negative_prompt_included` | Negative prompt goes to node 33 |
+| `test_random_seed_generated` | `seed=-1` produces a valid integer in `_meta` |
+| `test_list_available_models` | Returns model list from mocked `/object_info` |
+| `test_list_available_models_comfyui_offline` | ConnectError → graceful error string |
+| `test_get_generation_status_pending` | `prompt_id` in queue_pending → `"pending"` |
+| `test_get_generation_status_running` | `prompt_id` in queue_running → `"running"` |
+| `test_get_generation_status_complete` | Not in queue + in history → `"completed"` |
+| `test_get_output_directory_default` | No env var → `~/Pictures/mcp-generated` expanded |
+| `test_get_output_directory_custom` | Custom env var → that path returned |
+| `test_generate_image_success` | Full lifecycle: queue→poll→history→view→save |
+| `test_generate_image_comfyui_unavailable` | ConnectError → single TextContent error |
+| `test_generate_image_timeout` | COMFYUI_TIMEOUT=0 → timeout TextContent |
+| `test_generate_image_empty_prompt` | Empty string prompt → still succeeds |
+| `test_generate_image_long_prompt` | 500-char prompt → not truncated, succeeds |
+| `test_generate_image_invalid_model` | 404 from /prompt → error TextContent, no file saved |
+| `test_generate_image_custom_output_dir` | Custom `output_dir` param → saved there, dir created |
+| `test_generate_image_random_seed_variance` | `seed=-1` × 2 → different seeds, different filenames |
+
+### Test mock stack
+
+- **[respx](https://lundberg.github.io/respx/)** — HTTP-level mocking for all ComfyUI API endpoints
+- **[Pillow](https://pillow.readthedocs.io/)** (in conftest) — generates real PNG bytes for image response fixtures
+- **monkeypatch** — env vars (`IMAGE_OUTPUT_DIR`, `COMFYUI_URL`, `COMFYUI_TIMEOUT`) and server module attributes
+
+Real image generation requires ComfyUI to be running. Tests prove the tool logic is correct at the protocol level.
+
+---
+
+## 9. Prompt Tips for FLUX.1-schnell
+
+FLUX.1-schnell is a guidance-distilled model designed for speed at 1–8 steps. It responds differently from SDXL or SD1.5.
+
+### Prompt structure that works well
+
+```
+[subject], [style/medium], [lighting], [camera/composition], [mood/atmosphere], [quality modifiers]
+```
+
+**Example:**
+```
+ancient library at night, oil painting, warm candlelight, wide angle, mysterious atmosphere, highly detailed, sharp focus
+```
+
+### Style keywords
+
+| Style | Prompt keywords |
+|---|---|
+| Photography | `cinematic photograph, DSLR, 85mm lens, shallow depth of field, bokeh` |
+| Oil painting | `oil painting, thick brushstrokes, textured canvas, impressionist` |
+| Watercolor | `watercolor painting, soft washes, paper texture, flowing colors` |
+| Digital art | `digital art, concept art, artstation, octane render` |
+| Anime/illustration | `anime style, cel shading, vibrant colors, clean linework` |
+| Sketch | `pencil sketch, hand drawn, crosshatching, charcoal` |
+
+### Lighting keywords
+
+- `golden hour`, `blue hour`, `dramatic lighting`, `rim lighting`
+- `studio lighting`, `soft diffused light`, `volumetric light`
+- `neon glow`, `bioluminescent`, `moonlit`, `candlelight`
+
+### What works well with FLUX.1-schnell
+
+- **Clear subject + style** — "red panda in a cozy library, watercolor style"
+- **Landscape scenes** — fjords, forests, cities, abstract environments
+- **Portrait shots** — animals and characters with descriptive appearance
+- **Concept art** — futuristic cities, sci-fi environments, fantasy scenes
+- **Low step counts** — 4 steps is designed to be near-optimal for this model
+
+### What to avoid
+
+- **Booru-style tag dumps** (FLUX handles natural language better than SD1.5)
+- **Contradictory instructions** — "dark AND bright", "realistic AND cartoon"
+- **Overly complex scenes** at very small resolutions
+
+### Using the negative prompt
+
+FLUX.1-schnell has reduced CFG guidance so negative prompts have less impact than in SDXL.
+Use them for broad exclusions:
+
+```
+negative_prompt="blurry, out of focus, watermark, text, signature, low quality, artifacts"
+```
+
+### Reproducibility
+
+Always save the seed from the TextContent output if you want to reproduce a result:
+
+```
+Seed: 3847291045
+```
+
+Then pass it back: `seed=3847291045`
+
+---
+
+## 10. Known Limitations
+
+### ComfyUI must run locally
+
+The MCP server connects to `COMFYUI_URL` (default: `http://localhost:8188`). ComfyUI is a local application — it does not have a cloud API. You must start it before requesting image generation. The server returns a clear error message if ComfyUI is not reachable.
+
+### Model must be pre-loaded
+
+ComfyUI loads checkpoint models into VRAM on first use. The first generation with a model takes longer as VRAM is allocated (FLUX.1-schnell: ~8GB). Subsequent generations with the same model are faster.
+
+```bash
+# Verify model is installed before generation
+# → ask Lumen: "list available models in ComfyUI"
+```
+
+### AMD ROCm setup complexity
+
+AMD GPU support requires:
+1. ROCm drivers installed (`rocm-smi` working)
+2. PyTorch built with ROCm support (not the default CUDA build)
+3. `HSA_OVERRIDE_GFX_VERSION=11.0.0` for RX 7900 XTX (gfx1100)
+
+Without these, ComfyUI will fall back to CPU — very slow (minutes per image vs. ~8 seconds on RX 7900 XTX).
+
+Check GPU is being used:
+```bash
+# In another terminal while generating:
+watch -n 1 rocm-smi
+# VRAM usage should spike to ~8GB during generation
+```
+
+### Timeout on large images
+
+The default `COMFYUI_TIMEOUT=120` (2 minutes) may not be enough for:
+- Very large resolutions (2048×2048+)
+- High step counts (20+)
+- First generation loading a new model
+
+Increase via env var:
+```bash
+export COMFYUI_TIMEOUT=300  # 5 minutes
+```
+
+If `generate_image` returns a timeout error, the job may still be running in ComfyUI. Use `get_generation_status(prompt_id)` to check.
+
+### Ollama image gen is macOS-only (April 2026)
+
+Ollama launched experimental image generation in January 2026, but it is **macOS-only** as of April 2026. Linux support is announced as "coming soon." When Linux support arrives, the server can switch backends via `IMAGE_BACKEND=ollama` without changing any tool signatures.
+
+### ComfyUI history is ephemeral
+
+ComfyUI keeps generation history in memory — it is lost on restart. The `get_generation_status` tool will return `"not_found"` for old prompt IDs after a ComfyUI restart. The saved PNG file on disk persists regardless.
@@ -0,0 +1,41 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "mcp-image-gen"
+version = "0.1.0"
+description = "MCP server for AI image generation via ComfyUI (FLUX, SDXL)"
+readme = "README.md"
+requires-python = ">=3.11"
+license = "MIT"
+authors = [{name = "Patrick Plate", email = "patrickplate@gmx.de"}]
+dependencies = [
+    "fastmcp>=2.0.0",
+    "httpx>=0.27.0",
+    "pillow>=10.0.0",
+]
+
+[tool.hatch.version]
+path = "src/__init__.py"
+
+[tool.hatch.build.targets.sdist]
+include = ["/src", "/tests"]
+
+[tool.hatch.build.targets.wheel]
+include = ["/src", "/tests"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = "test_*.py"
+python_classes = "Test*"
+python_functions = "test_*"
+asyncio_mode = "auto"
+
+[dependency-groups]
+dev = [
+    "pytest>=8.0.0",
+    "pytest-asyncio>=0.23.0",
+    "respx>=0.21.0",
+    "pillow>=10.0.0",
+]
@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+# Run mcp-image-gen MCP server
+set -euo pipefail
+
+BASEDIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+export PATH="$HOME/.local/bin:$PATH"
+
+# Create output dir if it doesn't exist
+OUTPUT_DIR="${IMAGE_OUTPUT_DIR:-$HOME/Pictures/mcp-generated}"
+mkdir -p "$OUTPUT_DIR"
+
+cd "$BASEDIR"
+exec uv run src/server.py
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Patrick Plate	4107b8ede2	docs: promote webscraper_search_hint in wiki and mode rules	2026-04-05 10:11:33 +02:00
Patrick Plate	4202094f01	merge: fix/webscraper/search-hint-quality → main	2026-04-05 09:57:47 +02:00
Patrick Plate	62c3b67e66	fix(mcp-webscraper): improve search_hint quality — quote_plus, richer hint, dedup, result_count - Use urllib.parse.quote_plus instead of str.replace(' ', '+') for correct URL encoding of special chars (&, %, +, #, =) - Add search_url field to return dict so caller can verify/debug the query - Add result_count field for quick summary without len(results) - Deduplicate results by URL via seen_urls set - Filter cards with both empty title AND empty snippet - Richer hint string: 'Title (url): snippet[:120]' pipe-separated - Max-results guard now breaks early (no over-fetching) - 5 new tests (23→28): URL encoding, result_count, dedup, empty filter, hint format	2026-04-05 09:57:43 +02:00
Patrick Plate	c2dd262727	chore(roo): document git-based wiki workflow in rules, skill, and README	2026-04-05 09:53:08 +02:00
Patrick Plate	9c2422d0a7	chore(roo): document git-based wiki workflow in rules, skill, and README - mcp-builder rules: add wiki/ to structure diagram, add Wiki Update Workflow section (MANDATORY), update After Building a Server checklist - gitea-push skill: add wiki deploy as a valid use case - README.md: add wiki section with deploy_wiki.sh pointer, add mcp-image-gen to MCP servers table	2026-04-05 09:53:05 +02:00
Patrick Plate	9a8403ad57	docs(wiki): migrate to git-based workflow with persistent wiki/ clone	2026-04-05 09:48:22 +02:00
Patrick Plate	dabdda167f	docs(wiki): migrate to git-based workflow with persistent wiki/ clone - Extract all wiki content from create_wiki_pages.py into docs/wiki/pages/.md - Add docs/wiki/deploy_wiki.sh: copies pages to wiki/ repo, commits, pushes - Add /wiki/ to .gitignore (anchored — does not affect docs/wiki/) - 12 pages: Home, MCP-Servers-Overview, mcp-image-gen, ComfyUI-Setup, mcp-webscraper (8 tools incl. search_hint), BigMind (schema v8), Development-Conventions, Java-Projects, Java-wellmann-shop, Java-mss-failsafe, Java-Architecture, _Sidebar - Workflow: edit docs/wiki/pages/.md → ./docs/wiki/deploy_wiki.sh	2026-04-05 09:48:19 +02:00
Patrick Plate	da90781cad	Merge feat/webscraper/brave-search-hint into main	2026-04-05 09:37:38 +02:00
Patrick Plate	2ab847f51d	feat(webscraper): add Brave Search hint tool and User-Agent header - Add webscraper_search_hint() tool using Brave Search as backend (no CAPTCHA/GDPR consent wall, works with plain httpx) - Add User-Agent header to _fetch_page() — fixes 403 on Wikipedia, Feynman Lectures, and other sites that block headless requests - Add 5 new tests for search hint (23 total, 90% coverage) Brave Search URL: https://search.brave.com/search?q={query}&source=web Use sparingly — once per research task as orientation, not in loops	2026-04-05 09:37:30 +02:00
Patrick Plate	d5510f590e	Added new picture for bigmind page	2026-04-04 20:03:59 +02:00
Patrick Plate	cf102e8b3e	fix(bigmind): render achievement card background images via inline style	2026-04-04 19:29:15 +02:00
Patrick Plate	13659fd414	fix(bigmind): add background-image inline style to achievement card ach-image divs The .ach-image div had correct CSS dimensions (64x64) and background-size:cover but was missing the inline style="background-image: url(...)" — so the div rendered as an empty circle. Fixed by extracting img_url variable and applying it as style attribute in the f-string. All 39 achievement PNGs now load. 303/303 tests passing.	2026-04-04 19:27:24 +02:00
pplate	c68acdd030	chore(bigmind): rename timestamp badge PNGs to achievement IDs - Renamed 19 timestamp-named PNGs (20260404_*) to match original achievement IDs in profile_builder.py compute_achievements() order: first_breath, first_thought, eureka, honest_mind, scholar, deep_knowledge, scientist, veteran, on_fire, storyteller, night_owl, speed_thinker, first_handshake, birthday, shared_mind, frugal_mind, quarter_million, token_millionaire, sniper - Deleted 2 duplicate/excess timestamp PNGs - Added image= field to all 19 original _add() calls in profile_builder.py so every achievement now has a PNG path - All 39 achievements (19 original + 20 tiered) now have image fields - 303/303 tests pass	2026-04-04 19:09:01 +02:00
pplate	e61c9c98f5	fix(bigmind): fix static image path, JS string concat in achievements; add networker badge PNGs	2026-04-04 19:01:56 +02:00
Patrick Plate	50488109aa	Merge branch 'feat/bigmind/achievements-rework'	2026-04-04 18:50:55 +02:00
pplate	dd244a8e6c	feat(bigmind): add tiered AI-generated achievement badges with image rendering	2026-04-04 18:50:45 +02:00
Patrick Plate	ee07dec4d3	Merge feat/bigmind/profile-image-gallery into main	2026-04-04 14:52:36 +02:00
Patrick Plate	67b8b44408	feat(bigmind): profile image + AI image gallery (schema v8) - web.py: add /profile-image route (serves most-recent gallery PNG) add /gallery/image/<filename> route (per-image serving) add /gallery route (renders gallery page from DB) add _get_profile_image_path() helper - web_render.py: replace emoji avatar with <img src=/profile-image> onerror fallback to 🧠 emoji add .nav bar with Profile/Gallery links to both pages add _render_gallery_html() full gallery page renderer add gallery CSS: .gal-grid, .gal-card, .gal-img, .gal-info, etc. - db.py: bump SCHEMA_VERSION 7→8 add gallery_images table (id, filename, prompt, tags, model, created_at, width, height, file_size_bytes) add _migrate_v7_to_v8() migration function add init_db() hook for v<8 migration - tests: update test_schema_version_is_7→8 in test_db.py and test_feature7_live_sessions.py; add gallery_images to expected tables Storage strategy: Option B (filesystem + DB metadata) Images in ~/.mcp/bigmind/gallery/, metadata in SQLite Pre-populated with 5 lumen_profiles images (seeds 2409122067, 764633840, 1367851518, 3135233944, 568659042) Tests: 297/297 passing	2026-04-04 14:52:30 +02:00
Patrick Plate	a852e2ec0d	docs: merge Java wiki header images	2026-04-04 14:40:57 +02:00
Patrick Plate	a275a18e58	docs: add Java project wiki header images	2026-04-04 14:40:50 +02:00
Patrick Plate	20228f8d46	docs: add wiki creation script	2026-04-04 14:33:31 +02:00
Patrick Plate	3b1d5bf35c	docs: add wiki header images generated by mcp-image-gen	2026-04-04 14:22:29 +02:00
Patrick Plate	e12479a63a	Merge branch 'feat/mcp-image-gen/tests-and-lumen-profiles'	2026-04-04 14:09:19 +02:00
Patrick Plate	64c0a62b49	feat(mcp-image-gen): add test suite (19 tests) and Lumen profile pictures	2026-04-04 14:09:11 +02:00
Patrick Plate	f24aafec69	fix(mcp-image-gen): merge HF authenticated download fix	2026-04-04 12:28:28 +02:00
pplate	4165018ab2	fix(mcp-image-gen): fix HuggingFace authenticated download instructions FLUX.1-schnell is a gated model — bare wget returns HTTP 401. - Replace bare wget with huggingface-cli login + download (Option A) - Add wget with Authorization header as Option B - Add license acceptance prerequisite (huggingface.co gated repo) - Add token creation link (huggingface.co/settings/tokens) - Add fp8 quantized variant as alternative (~8.1GB, faster inference) - Add download size note (~8GB, 10-30min)	2026-04-04 12:28:20 +02:00
pplate	2f01ff0639	fix(mcp-image-gen): correct ComfyUI install instructions in USAGE.md ComfyUI is NOT on PyPI — `pip install comfyui` fails with "No matching distribution found". Remove the wrong Option A. Replace with: - Warning note that pip install does not work - Only correct method: git clone from GitHub + pip install -r requirements.txt ROCm status confirmed: rocm-smi 3.1.0 / ROCm-SMI-LIB 7.7.0 installed.	2026-04-04 12:20:28 +02:00
Patrick Plate	7a21b02081	Merge branch 'feat/mcp-tool-limit'	2026-04-04 12:16:15 +02:00
pplate	1340d3098f	fix(mcp): finalize alwaysAllow restrictions in mcp.json	2026-04-04 12:16:14 +02:00
pplate	8cbeb6571b	docs(mcp-image-gen): add USAGE.md and expand tests to 19	2026-04-04 12:16:03 +02:00
pplate	b0ce5c55ed	fix(mcp): further restrict alwaysAllow in mcp.json after merge	2026-04-04 12:15:58 +02:00
pplate	ef960a4b59	feat(mcp): limit tools to fix overload (#1 ) Restrict alwaysAllow in .roo/mcp.json to essential tools per server: - git: 5 tools (status, diff, log, add, commit) — was wildcard * - gitea: 8 tools (create/list/get/edit issues, PR, repo) — was wildcard * - playwright: 6 tools (navigate, click, fill, screenshot, close, new_context) — was unrestricted Reduces total registered tools from 105+ to ~40, eliminating context bloat and VS Code/Roo registration failures. Closes #1	2026-04-04 12:03:07 +02:00
Patrick Plate	93b250c7a1	Merge branch 'chore/roo/mcp-config-update'	2026-04-04 11:54:33 +02:00
Patrick Plate	0a58541f1e	chore(roo): update mcp.json config	2026-04-04 11:54:26 +02:00
Patrick Plate	b30919cabb	Merge branch 'feat/mcp-image-gen/comfyui-image-generation-server'	2026-04-04 11:49:44 +02:00
Patrick Plate	8112ff2f12	feat(mcp-image-gen): scaffold ComfyUI-backed image generation MCP server - FastMCP server with 4 tools: generate_image, list_available_models, get_generation_status, get_output_directory - ComfyUI REST API client (httpx) polling lifecycle - FLUX.1-schnell workflow JSON template - Dual output: TextContent (path + seed) + ImageContent (base64 PNG) - 14 passing pytest tests with respx HTTP mocking - ROCm/AMD RX 7900 XTX optimized setup in README - Ollama Linux migration path documented (future)	2026-04-04 11:49:31 +02:00
Patrick Plate	ba7d4bc248	feat(roo): merge gitea-playwright-mcp into main	2026-04-04 11:14:53 +02:00
Patrick Plate	29d6463f7c	feat(roo): add forgejo-mcp + playwright MCP to .roo/mcp.json - forgejo-mcp v0.0.7 binary installed at ~/.local/bin/forgejo-mcp (downloaded from github.com/raohwork/forgejo-mcp releases) Enables: Issues, labels, milestones, wiki, PRs, releases via Gitea REST API - @playwright/mcp added for browser automation (replaces archived puppeteer MCP) - Gitea pi_mcps repo bootstrapped: Labels: bigmind, webscraper, cannamanage, roo, bug, feat, docs, chore Milestone: BigMind v3.1 (#1)	2026-04-04 11:14:52 +02:00
Patrick Plate	768201909a	chore(roo): merge branching-strategy into main	2026-04-04 11:01:17 +02:00