Fitbit MCP
Fitbit MCP is an unofficial implementation of the Model Context Protocol that allows AI assistants to access and analyze users' Fitbit health and fitness data through the Fitbit public API.
rating : 2.5 points
downloads : 5.3K
What is Fitbit MCP?
Fitbit MCP is a bridge service that connects your Fitbit account with an AI assistant. It allows the AI assistant to securely read and analyze your health data, such as steps, heart rate, sleep, etc., after obtaining your authorization, thereby providing personalized health advice and data analysis.How to use Fitbit MCP?
Simply obtain a Fitbit access token and configure it in the AI assistant framework, and your AI assistant can start querying your health data. Configuration is supported through both environment variables and command-line parameters.Use cases
Suitable for scenarios where you want to obtain health data analysis, exercise plan suggestions, sleep quality assessment, etc., through an AI assistant. Helps you better understand your health status and develop improvement plans.Main Features
User Profile
Get basic user information such as age, gender, height, weight, etc.
Activity Data
Query daily activity data including steps, distance, calorie consumption, etc.
Sleep Analysis
Get detailed sleep logs and quality scores
Heart Rate Monitoring
Query heart rate change data at different time periods
Nutrition Tracking
Get food and water intake records
Advantages
Comprehensive data - Covers all major health indicators provided by Fitbit
Easy to use - Only need to configure the access token once for continuous use
Privacy and security - Adopts the standard OAuth authorization process and does not store user data
Flexible query - Supports querying specific data by date and time period
Limitations
Unofficial service - Depends on the stability of the Fitbit API
Read-only access - Cannot modify Fitbit data through this service
Data delay - Some indicators may have a synchronization delay of about 1 hour
Requires technical foundation - Obtaining the access token requires certain technical operations
How to Use
Obtain a Fitbit access token
Create a personal application in the Fitbit developer portal and complete the OAuth authorization process
Configure the AI assistant
Add the Fitbit MCP service to the AI assistant configuration and fill in your access token
Start querying
Let the AI assistant obtain and analyze your health data through natural language instructions
Usage Examples
Daily health report
Get a report on the previous day's sleep quality, steps, and heart rate changes every morning
Exercise plan optimization
Develop a personalized exercise plan based on historical activity data
Frequently Asked Questions
Is this service secure? Will it store my data?
Why can't I query some data?
What if the access token expires?
Related Resources
Fitbit Developer Documentation
Official API documentation and OAuth authorization guide
GitHub Repository
Project source code and contribution guide
MCP Protocol Description
Detailed introduction to the Model Context Protocol

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