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Mcp Myfitnesspal

mcp-linares222-mcp-myfitnesspal · by linares222

A simple MCP Server to Pull data from MyFitnessPal

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Install

$ agentstack add mcp-linares222-mcp-myfitnesspal

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

MyFitnessPal MCP Server

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

Quick Start

Local Development

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

Deployment (Server/Docker)

For environments without a browser:

  1. Export cookies from your local browser:

``bash uv run python export_cookies.py ``

  1. Deploy with the generated .env file - no browser needed!

See [Deployment Guide](docs/DEPLOYMENT.md) 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](docs/README.md) - Complete setup and usage guide
  • [Deployment Guide](docs/DEPLOYMENT.md) - Docker, server, and cloud deployment
  • [Quick Start Guide](docs/USAGE.md) - Fast setup instructions
  • [Project Summary](docs/PROJECT_SUMMARY.md) - Architecture and design decisions
  • [Implementation Notes](docs/IMPLEMENTATION_NOTES.md) - 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:

``bash 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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.