MCP server that connects Withings Health API to AI assistants, enabling access to health data including body composition, sleep, activity, and ECG metrics with local caching and trend analysis.
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.
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.
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