Add MCP server setup docs (docker compose + mcpo wiring for OpenWebUI)

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# sap-arch-mcp
MCP server that exposes the **sap-architecture** skill pipeline as tools, so an
LLM agent can generate SAP Architecture Center-style `.drawio` diagrams using
the full deterministic pipeline (template scaffolding, icon extraction,
autofix, validation, corpus scoring) instead of fetching raw files per request.
## Tools exposed
| Tool | Purpose |
|---|---|
| `list_templates` | Browse/filter the 71 bundled official SAP templates |
| `scaffold` | Rank templates against a request, copy best match, return XML + design recipe (mandatory first step) |
| `extract_icon` | Official BTP service icon → ready-to-paste mxCell (32×32, grid-snapped) |
| `extract_asset` | Any starter-kit asset: connectors, area shapes, numbers, brand names |
| `autofix` | Mechanical fixes: grid, hex case, absoluteArcSize, strokeWidth, fonts |
| `validate` | Full SAP-style validator (bent arrows, palette, overlap, pill verbs...) |
| `score` | Corpus similarity / SAP-likeness gate (PASS ≥ 90) |
| `compare` | Fingerprint diff against one named template |
| `render_png` | Headless PNG export (optional, needs drawio + xvfb) |
| `get_reference_doc` | Read skill reference docs (gotchas, palette, layout...) |
## Quick start (Docker, recommended)
```yaml
# docker-compose.yml
services:
sap-arch-mcp:
image: python:3.12-slim
container_name: sap-arch-mcp
restart: unless-stopped
ports:
- "8600:8600"
volumes:
- ./sap-architecture:/opt/sap-architecture:ro
- sap-arch-work:/work
environment:
SKILL_DIR: /opt/sap-architecture
WORK_DIR: /work
command: >
sh -c "pip install --quiet 'mcp[cli]' mcpo &&
mcpo --host 0.0.0.0 --port 8600 --
python3 /opt/sap-architecture/mcp-server/server.py"
volumes:
sap-arch-work:
```
```bash
git clone https://git.alexzaw.dev/alexz/sap-architecture.git
docker compose up -d
```
Put the container on the same Docker network as OpenWebUI if you want to
reference it by service name.
## Wire into OpenWebUI
**Admin Settings → Tools → Add Connection**`http://sap-arch-mcp:8600`
(or `http://<host>:8600`). The tools appear automatically; mcpo serves
OpenAPI docs at `/docs`.
## Optional: PNG rendering
Inside the container (or bake into an image):
```bash
apt-get update && apt-get install -y wget xvfb libgbm1 libasound2 libnss3 libgtk-3-0
wget -O /tmp/drawio.deb https://github.com/jgraph/drawio-desktop/releases/download/v28.0.6/drawio-amd64-28.0.6.deb
apt-get install -y /tmp/drawio.deb
printf '#!/bin/bash\nexec xvfb-run -a /usr/bin/drawio "$@" --no-sandbox --disable-gpu\n' > /usr/local/bin/drawio-headless
chmod +x /usr/local/bin/drawio-headless
export DRAWIO_CLI=/usr/local/bin/drawio-headless
```
Without it, everything except `render_png` works — the validator and scorer
are the real quality gates.
## Agent workflow (what the LLM should do)
1. `scaffold(request)` → pristine SAP template XML + design recipe
2. Surgical relabel of the XML (never draw from scratch)
3. `extract_icon` / `extract_asset` for any new cards
4. `autofix(xml)``validate(xml)` → fix errors → repeat
5. `score(xml)` → PASS ≥ 90, else `compare` against the source template and restore drift
6. Deliver `.drawio` (+ `render_png` if requested), narrate the flow below the diagram