partymola/fitbit-mcp
🔌 MCP Serverpartymola
An MCP server enabling seamless integration between Fitbit health data and AI agents.
The fitbit-mcp server acts as a bridge between LLM-based agents and personal health data stored in Fitbit. By implementing the Model Context Protocol, it allows AI models to query health metrics in a standardized, secure manner. Key technical features include a secure OAuth 2.0 PKCE flow to handle user authentication without exposing credentials, and a local SQLite caching layer that minimizes API calls while ensuring data availability. The server supports a wide array of health endpoints, allowing agents to fetch granular data such as daily activity logs, exercise sessions, sleep stages, weight tracking, SpO2 levels, and Heart Rate Variability (HRV). Furthermore, it includes built-in trend analysis capabilities, enabling agents to provide users with insights into their health patterns over time. This architecture is designed for extensibility, allowing developers to easily integrate personal health context into agentic workflows.
💡Highlights
- ├─OAuth 2.0 PKCE secure auth
- ├─Local SQLite cache with auto-sync
- └─Supports HR, sleep, SpO2, and HRV
🎯For
- ├─AI Application Developers
- └─Health-Tech Engineers