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MyFitnessPal MCP Server

by delize

MyFitnessPal MCP Service

A deployable Model Context Protocol (MCP) server for MyFitnessPal that works as a remote Claude connector: food diary, food search, exercises, body measurements, nutrition goals, water intake, and nutrition reports.

This is a fork of AdamWalt/myfitnesspal-mcp-python (MIT, tool implementations) restructured for remote deployment with the OAuth 2.1 / streamable-http transport skeleton from garmin-mcp-service. MyFitnessPal access is via coddingtonbear/python-myfitnesspal.

Tools

Tool

Type

Description

mfp_get_diary

Read

Food diary (meals, entries, nutrition, totals, goals) for a date

mfp_search_food

Read

Search the MyFitnessPal food database

mfp_get_food_details

Read

Full nutrition breakdown for a food by MFP ID

mfp_get_recent_foods

Read

Recently used foods from the authenticated account

mfp_get_frequent_foods

Read

Most-used foods from the authenticated account

mfp_get_my_foods

Read

Foods created or saved by the authenticated account

mfp_get_measurements

Read

Body measurement history (Weight, Body Fat, ...)

mfp_set_measurement

Write

Log a body measurement for today

mfp_get_exercises

Read

Logged cardio/strength exercises for a date

mfp_get_goals

Read

Daily nutrition goals

mfp_set_goals

Write

Update daily nutrition goals

mfp_get_water

Read

Water intake for a date

mfp_set_water

Write

Log water intake for a date

mfp_add_food_to_diary

Write

Add a food entry to a meal

mfp_update_food_entry

Write

Update an existing diary entry by entry_id

mfp_delete_food_entry

Write

Delete an existing diary entry by entry_id

mfp_get_report

Read

Nutrition report (e.g. Net Calories) over a date range

Food collections (recent / frequent / my foods)

mfp_get_recent_foods, mfp_get_frequent_foods, and mfp_get_my_foods each take an optional limit (recent/frequent default 10, my-foods default 100, max 100) and response_format (markdown or json). They intentionally use the legacy add-to-diary AJAX endpoints (/food/load_recent, /food/load_most_used, /food/load_my_foods) rather than the newer /food/mine, /meal/mine, or /food/new pages, which can redirect to /account/logout even when diary reads and API-token fetches still work.

Editing diary entries

mfp_get_diary with response_format=json now surfaces an entry_id for each meal entry. Pass that id to:

  • mfp_update_food_entry - change meal, quantity, unit (serving-size label, e.g. "350 ml"), or weight_id (raw MFP serving-size option id, overrides unit) for an entry; requires date for historical entries. MyFitnessPal can rewrite an entry during edit, so the response reports current_entry_id and entry_id_changed so you can keep tracking the right row.

  • mfp_delete_food_entry - delete an entry by entry_id (requires date for historical entries).

Related MCP server: fitbit-googlehealth-mcp

MyFitnessPal's login page is captcha-protected, so headless password login is dead - this server never asks for your MFP password. Instead it reads session cookies from one of:

  1. Firefox profile sidecar (recommended): log into myfitnesspal.com once, interactively, in a Firefox profile; mount that profile directory read-only into the container at /profile. The server copies cookies.sqlite (and its WAL) to a temp file on each refresh - Firefox's locks don't matter - and extracts the myfitnesspal.com cookies. The copy is cached and only re-read when the file changes, so Firefox can keep running (e.g. a headless Firefox sidecar container you occasionally VNC into to re-login).

  2. JSON cookies file: MFP_COOKIES_FILE pointing at {"cookies": {name: value}} (AdamWalt's ~/.mfp_mcp/cookies.json format) or a plain {name: value} dict.

Session cookies expire eventually (~30 days); when tools start failing with auth errors, log into MFP again in that Firefox profile.

Environment Variables

Variable

Default

Description

MFP_FIREFOX_PROFILE_DIR

/profile (Docker)

Firefox profile dir (or parent dir of profiles) containing cookies.sqlite with a logged-in MFP session

MFP_COOKIES_FILE

-

JSON cookies file; used if set and no cookies.sqlite is found

MCP_TRANSPORT

stdio (streamable-http in Docker)

Transport: stdio or streamable-http

MCP_HOST

127.0.0.1 (0.0.0.0 in Docker)

Bind address for HTTP mode

MCP_PORT

8000

Port for HTTP mode

MCP_ALLOWED_HOSTS

-

Comma-separated allowed Host headers (reverse proxy domains). Enables DNS-rebinding protection; if unset, protection is disabled in HTTP mode

MCP_OAUTH_PASSCODE

-

Shared passcode for the OAuth login page (remote connectors). Omit for unauthenticated LAN-only use

MCP_RESOURCE_URL

-

Exact public URL clients use (no path), e.g. https://mfp.example.com. Required together with the passcode

Docker

docker build -t myfitnesspal-mcp-service .

docker run -d -p 8000:8000 \
  -v ~/.mozilla/firefox/abcd1234.default-release:/profile:ro \
  -e MCP_ALLOWED_HOSTS=mfp.example.com \
  -e MCP_RESOURCE_URL=https://mfp.example.com \
  -e MCP_OAUTH_PASSCODE="$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')" \
  ghcr.io/delize/myfitnesspal-mcp-service:latest

CI builds and pushes ghcr.io/delize/myfitnesspal-mcp-service (amd64 + arm64) on pushes to main and v* tags.

Claude Connector Setup

Same flow as garmin-mcp-service:

  1. Deploy behind HTTPS (reverse proxy) with MCP_TRANSPORT=streamable-http, MCP_RESOURCE_URL, and MCP_OAUTH_PASSCODE set.

  2. In Claude, add a custom connector with URL https://mfp.example.com/mcp. Leave OAuth Client ID/Secret blank - the server supports dynamic client registration (/register), authorization + PKCE (/authorize, /token).

  3. Claude redirects you to the /login passcode page once; enter MCP_OAUTH_PASSCODE. After that the client holds and refreshes its own token.

The passcode proves "the caller knows the passcode", not identity - keep network-level access control (IP allowlist, VPN) in front of any internet-facing deployment. Omitting MCP_OAUTH_PASSCODE/MCP_RESOURCE_URL runs the HTTP server unauthenticated (a warning is logged); only do that on a trusted network.

For local stdio use (Claude Desktop):

{
  "mcpServers": {
    "myfitnesspal": {
      "command": "python",
      "args": ["-m", "myfitnesspal_mcp.server"],
      "env": {
        "MFP_FIREFOX_PROFILE_DIR": "/home/you/.mozilla/firefox/abcd1234.default-release"
      }
    }
  }
}

Troubleshooting

Tools don't appear even though the connector shows "Connected"

Problem: The connector authorizes and shows as Connected, but its tools never surface in a conversation - asking the model to use them, or searching for them, turns up nothing. No error is shown.

Cause: This is almost always a client-side tool-budget limit, not a problem with this server. Claude caps how many tools can be active in a single conversation across all connected servers combined. If another connector exposes a very large tool set, it can consume that budget and silently crowd this server's tools out of the conversation. (Seen in practice with a connector exposing ~170 tools starving this server's handful.)

Confirm / fix:

  1. In a fresh conversation, disable the other large connector(s) and check whether these tools now appear. If they do, it was the budget.

  2. Keep high-tool-count connectors in separate conversations, or trim their active tools if the client supports per-tool toggles.

  3. This server always returns its full tool list regardless - you can verify independently with an authenticated tools/list call against /mcp. If that returns the tools but the client doesn't show them, the gap is on the client side, not here.

Attribution

License

MIT - see LICENSE (preserves the original copyright).

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

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