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authorTom Flux <tom@tomflux.xyz>2026-06-23 21:16:30 +0100
committerTom Flux <tom@tomflux.xyz>2026-06-23 21:16:30 +0100
commiteed90569f7dafa7eb9c8358c152efac1a49f0405 (patch)
treee8b6cbe4c63e243a79322a7238b986385ae7fb6f /kitchen/tests.py
parentd118726d3010d5b0133c7665fc20008c055f2757 (diff)
Phase 3b: FastMCP "ai service" for claude.ai cooking mode
A standalone MCP server (no Django import) exposing 7 tools over Streamable HTTP, backed by the Django REST API via the caine token. - mcp_server/: client.py (httpx wrapper over /api/), server.py (the tools + FastMCP app + main), __main__.py, tests.py. - Tools: get_pantry, set_item_state, add_to_pantry, what_can_i_cook, get_recipes, log_cook (suggests, never mutates), create_meta_recipe (brainstorm -> commit). Each description says when to call it. - deploy/food-mcp.service: systemd unit (own process, runs .venv python -m mcp_server, loads /var/lib/food/.env). - deploy/food.tomflux.xyz.nginx: current config + an authless /mcp/<secret>/ location proxying to 127.0.0.1:8765 (the URL secret is the credential; SSE-friendly buffering/timeout). - pyproject: [dependency-groups] mcp = [fastmcp, httpx]; deploy with `uv sync --group mcp`. Verified: 7 tools register on fastmcp 3.x, run() accepts transport/ host/port/path, 6 FoodClient unit tests pass (httpx MockTransport). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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