Files
food/pyproject.toml
T
Tom FluxandClaude Opus 4.8 44de784f70 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>
2026-06-23 21:16:30 +01:00

25 lines
675 B
TOML

[project]
name = "food"
version = "0.1.0"
description = "Pantry + meta-recipe meal planning (Django, HTMX)"
requires-python = ">=3.11"
dependencies = [
"django==5.2.12",
"djangorestframework==3.17.1",
"whitenoise==6.12.0",
"gunicorn==25.3.0",
"recipe-scrapers==15.11.0",
"requests==2.33.1",
]
# No [build-system]: this is an application, not an installable package, so uv
# treats it as a virtual project and won't try to build/install it.
# Optional deps for the MCP "ai service" (deploy with `uv sync --group mcp`).
# Kept out of the default set so the Django service stays lean.
[dependency-groups]
mcp = [
"fastmcp>=2",
"httpx>=0.27",
]