weight-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@weight-mcplog my lunch: chicken salad"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
weight-mcp
A personal calorie & protein counter delivered as an MCP server for use inside claude.ai. You log meals from photos or text in a normal Claude chat; this server counts them, tracks weight, and renders an interactive dashboard (weight graph + recently eaten) right in the conversation.
Single-user, self-hosted, by design. See SPEC.md for the rationale.
How it works
MCP server (Streamable HTTP) exposes tools, a prompt, and an MCP Apps dashboard UI to claude.ai.
In-process OAuth gate: claude.ai drives the full OAuth 2.1 + PKCE + Dynamic Client Registration flow, but the only human step is entering a single shared password (configured in
.env). There are no user accounts.SQLite stores weights and food logs — one file under
data/.
Related MCP server: Nutrition MCP
Tools
Tool | What it does |
| Record an eaten item (kcal, protein, …), numbered per day; re-logging a meal number overwrites it (edits). |
| Remove one of today's meals by its number. |
| Store a body-weight measurement. |
| Query public nutrition databases (Open Food Facts, optional USDA). |
| Today's intake vs. your goal. |
| Change the daily calorie/protein targets and floor/ceiling mode. |
| Renders the dashboard inline as an MCP Apps panel (weight graph + recent meals + today's progress). |
Configure
Copy .env.example to .env and set at least WEIGHT_MCP_PASSWORD and
WEIGHT_MCP_PUBLIC_BASE_URL. Nutrition sources default to Open Food Facts,
filtered to Germany; set WEIGHT_MCP_* to change region or enable USDA.
Goals are not env config — set them from chat with set_goals (they persist in
the database). Two modes: floor (eat at least the target — the default, for
under-eaters) and ceiling (stay under — for weight loss). Until you set your
own, the default is 2600 kcal / 150 g protein, floor.
Run
Local (dev):
uv sync
cp .env.example .env # then edit
uv run weight-mcpDocker (local build):
docker compose up --buildFor a real deployment you need public HTTPS (claude.ai connects from Anthropic's
cloud, not your device). Copy docker-compose.template.yml, put the server
behind a TLS reverse proxy, and set WEIGHT_MCP_PUBLIC_BASE_URL to that origin.
Add to claude.ai
Customize → Connectors → "Add custom connector" (on Team/Enterprise:
Organization settings → Connectors → Add → Custom → Web), paste your server's
base URL (https://<your-host> — the MCP endpoint and OAuth live at the origin
root, so there is no path to append). claude.ai opens the OAuth page; enter your
password. Done — start a chat and tell Claude what you ate.
Develop
uv run ruff check .
uv run mypy
uv run pytestThis server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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