Fitbit MCP Server
@TheDigitalNinja
Give your AI assistant access to your Fitbit data for personalized health insights, trend analysis, and automated tracking. Works with Claude Desktop and other MCP-compatible AI tools.
Overview
What is Fitbit MCP Server?
Fitbit MCP Server connects AI assistants to Fitbit health data, enabling personalized health insights, trend analysis, and automated tracking. It works with Claude Desktop and other MCP-compatible AI tools.
How to use Fitbit MCP Server?
Install the global npm package mcp-fitbit, set Fitbit API credentials in a .env file, and add the server to your Claude Desktop config file. On first use, your browser opens for OAuth authorization with Fitbit.
Key features of Fitbit MCP Server
- Retrieve detailed exercise and activity logs
- Access sleep patterns and quality metrics
- Get weight tracking data over time
- Monitor heart rate patterns and zones
- Review food intake, calories, and macros
- Read basic Fitbit profile information
Use cases of Fitbit MCP Server
- Ask your AI about sleep patterns for a given week
- Query average heart rate during workouts
- Review daily nutrition and calorie intake
- Analyze weight trends over custom periods
FAQ from Fitbit MCP Server
What AI assistants can I use with Fitbit MCP Server?
It works with Claude Desktop and other MCP-compatible AI tools.
What Fitbit data can the server access?
It can retrieve exercise logs, sleep analysis, weight tracking, heart rate data, nutrition logs, and profile information.
What are the API limits for data queries?
Sleep queries are limited to 100 days, activity time series to 30 days, active zone minutes to 1095 days, and heart rate by date range to 1 year.
How does authentication work?
The server uses OAuth 2.0 with Fitbit. On first use, it opens your browser to http://localhost:3000/auth to log in and grant permissions.
What are the system requirements?
Node.js and npm are required. The server is installed as a global npm package (mcp-fitbit).
