MyFitnessPal MCP Server

A FastMCP server that retrieves your MyFitnessPal nutrition data through the Model Context Protocol.

Quick Start

Local Development

Prerequisites: Python 3.12+, uv, MyFitnessPal account
Install dependencies: uv sync
Log into MyFitnessPal in your browser (Chrome, Firefox, Safari, or Edge)
Test the server: uv run python test_client.py

Deployment (Server/Docker)

For environments without a browser:

Export cookies from your local browser:
uv run python export_cookies.py
Deploy with the generated .env file - no browser needed!

See Deployment Guide for Docker, systemd, and cloud deployment options.

Features

Daily nutrition summary (calories, macros, water)
Detailed meal-by-meal breakdown
Exercise tracking (cardio + strength)
Macro & micronutrient analysis
Water intake monitoring
Date range summaries with trends

Configuration

Add to your MCP client config (e.g., .cursor/mcp.json):

{ "mcpServers": { "myfitnesspal": { "type": "stdio", "command": "uv", "args": ["run", "--directory", "/path/to/mfp-mcp", "python", "main.py"] } } }

Documentation

Full Documentation - Complete setup and usage guide
Deployment Guide - Docker, server, and cloud deployment
Quick Start Guide - Fast setup instructions
Project Summary - Architecture and design decisions
Implementation Notes - Technical details

How It Works

Uses the python-myfitnesspal library (GitHub version) which:

Extracts cookies from your browser automatically
Scrapes MyFitnessPal website for data
No credentials stored in files
Works with Chrome, Firefox, Safari, and Edge

Cookie Authentication

Browser-based (default):

Automatically extracts cookies from your local browser
Works out of the box if you're logged into MyFitnessPal

Environment variable (for Docker/servers):

Set MFP_COOKIES environment variable with exported cookies
Use export_cookies.py utility to extract cookies beforehand:
uv run python export_cookies.py
Perfect for environments without browser access (Docker containers, remote servers, etc.)
Cookies expire after ~30 days, re-export when needed

Project Structure

mfp-mcp/ ├── docs/ # All documentation ├── myfitnesspal/ # External library (GitHub) ├── main.py # FastMCP server ├── api_client.py # Client wrapper ├── utils.py # Helper functions ├── test_client.py # Test script └── pyproject.toml # Dependencies

Requirements

Python 3.12+
uv package manager
Active MyFitnessPal session in browser
fastmcp 2.12+
lxml, browser-cookie3, measurement

License

For personal use and educational purposes. Respect MyFitnessPal's Terms of Service.

Credits

python-myfitnesspal: https://github.com/coddingtonbear/python-myfitnesspal
FastMCP: https://github.com/jlowin/fastmcp

Deploy Server

HTTP connection URL

-

security - not tested

A

license - permissive license

-

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.

MyFitnessPal MCP Server

MyFitnessPal MCP Server

Quick Start

Local Development

Deployment (Server/Docker)

Features

Configuration

Documentation

How It Works

Cookie Authentication

Project Structure

Requirements

License

Credits

Tools

New MCP Servers

MCP directory API