F

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.
2.5 points
19

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 TrackingObtain the weight change trend over a certain period of time.
Sleep RecordsAnalyze the sleep quality and duration within a specified date range.
User ProfileObtain the user's comprehensive health profile, including age, gender, height, and weight.
More features are under developmentFuture versions will support features such as step counting, heart rate monitoring, and activity analysis.

Advantages and Limitations

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 AnalysisUnderstand the weight fluctuations in the past month.
Example 2: Sleep Quality AssessmentAnalyze whether the sleep quality has improved in April.
Example 3: Obtain User ProfileQuickly 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.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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