partymola/withings-mcp

What it does

This MCP (Model Context Protocol) server integrates the Withings Health API with AI assistants like Claude. It provides tools to retrieve and analyze personal health data from Withings devices and services, including body composition metrics, sleep patterns, physical activity, workouts, ECG readings, and connected device information.

How to set up

Installation requires Python and involves cloning the GitHub repository, installing dependencies, and configuring OAuth credentials with Withings. The server uses local SQLite caching to store health data efficiently, reducing API calls and enabling offline analysis. Users authenticate through Withings' OAuth flow to grant the MCP server permission to access their health data.

Key features

• OAuth authentication for secure Withings API access
• Local SQLite database for caching health metrics
• Trend analysis capabilities on collected health data
• Tools for accessing body composition, sleep, activity, and workout data
• ECG and connected device monitoring support
• Python-based MCP server compatible with Claude and other AI platforms