MyFitnessPal MCP Server
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.
README
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
.envfile - 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_COOKIESenvironment variable with exported cookies - Use
export_cookies.pyutility 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
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