An MCP server that connects Claude and other AI tools to Fitbit's Web API, enabling analysis of heart rate, activity, sleep, weight, and other health metrics with local caching and trend analysis.
partymola/fitbit-mcp is an MCP (Model Context Protocol) server that integrates Fitbit health data with AI assistants like Claude. It provides secure OAuth 2.0 PKCE authentication to access your Fitbit account and exposes tools for retrieving and analyzing comprehensive health metrics including heart rate, physical activity, exercises, sleep patterns, weight, blood oxygen levels (SpO2), and heart rate variability (HRV).
This MCP server requires Python and can be installed via pip or cloned from the GitHub repository. Configuration involves setting up OAuth 2.0 credentials with Fitbit's Web API, providing authentication details to the server, and configuring it within your Claude client or compatible MCP platform. The server automatically maintains a local SQLite cache that syncs with Fitbit data.
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