modelscope·@ai-mcp-garage/mcp-myfitnesspal
暂无描述。
A FastMCP server that retrieves your MyFitnessPal nutrition data through the Model Context Protocol.
uv syncuv run python test_client.pyFor 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.
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"]
}
}
}
Uses the python-myfitnesspal library (GitHub version) which:
Browser-based (default):
Environment variable (for Docker/servers):
MFP_COOKIES environment variable with exported cookiesexport_cookies.py utility to extract cookies beforehand:
uv run python export_cookies.py
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
For personal use and educational purposes. Respect MyFitnessPal's Terms of Service.
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暂无描述。