Fitbit
This project implements a Fitbit MCP Server, which serves as a bridge between LLM and the Fitbit API, supporting the acquisition of user health data through defined tools.
rating : 2.5 points
downloads : 7.2K
What is the Fitbit MCP Server?
The Fitbit MCP Server is a secure tool that allows you to obtain personal health and fitness data, such as weight and sleep records, through the Fitbit API. This data can be analyzed and utilized by language models (e.g., Claude).How to use the Fitbit MCP Server?
First, you need to set up the server and authorize it to access your Fitbit account. Then, you can use simple commands to request the required data.Applicable Scenarios
This server is suitable for researchers, fitness enthusiasts, or doctors who wish to track health indicators, optimize lifestyle habits, and analyze personal health data.Main Features
Weight Tracking
Obtain the weight change trend over a certain period of time.
Sleep Records
Analyze the sleep quality and duration within a specified date range.
User Profile
Obtain the user's comprehensive health profile, including age, gender, height, and weight.
More features are under development
Future versions will support features such as step counting, heart rate monitoring, and activity analysis.
Advantages
Easily integrate health data into AI analysis.
Support multiple data dimensions to meet diverse needs.
A secure and reliable OAuth 2.0 authentication mechanism.
Limitations
Only available for authorized Fitbit accounts.
Some advanced features may require additional permissions.
It has a certain dependence on the network environment.
How to Use
Installation and Configuration
Install dependencies according to the instructions and create an environment file to save your Fitbit credentials.
Authorize the Server
After starting the server, the browser will automatically open the authorization page. Log in to your Fitbit account and agree to the authorization.
Start Using
Enter commands in Claude to call the corresponding functions.
Usage Examples
Example 1: Weight Trend Analysis
Understand the weight fluctuations in the past month.
Example 2: Sleep Quality Assessment
Analyze whether the sleep quality has improved in April.
Example 3: Obtain User Profile
Quickly view personal basic information.
Frequently Asked Questions
How to ensure data security?
Does it support multiple Fitbit accounts?
Can I export data to Excel?
What if I forget my password?
Related Resources
Official Documentation
The homepage of the Fitbit developer platform.
GitHub Repository
The address of the source code repository.
Claude Desktop Version
The desktop client of Claude AI.

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