MCP Strava
MCP Strava Server is a service for integrating the Claude desktop application with the Strava API, facilitating users to process and analyze Strava activity data.
rating : 2.5 points
downloads : 21
What is MCP Strava Server?
This is an intermediate service specifically designed for the Claude desktop version, which can securely obtain and process your sports data on the Strava platform. Through it, you can directly query detailed data of activities such as running and cycling in Claude and get AI-driven sports analysis.How to use this service?
Simply complete a one-time server configuration, and then you can query your sports data in a natural conversation style in Claude, such as 'Help me analyze my cycling performance last week' or 'Compare my last three 10-kilometer runs'.Applicable scenarios
Suitable for sports enthusiasts, fitness coaches, data analysts, etc. who need: - Automatically generate training reports - Track long-term sports trends - Get personalized training suggestions - Share professional data visualizationMain features
Real-time data synchronizationAutomatically obtain the latest activity data from Strava, including professional indicators such as GPS tracks, heart rate, and power
Natural language queryAsk for sports data in a daily conversation style without memorizing complex commands
Multi-format outputSupport various presentation methods such as text summaries, data tables, and charts
Advantages and limitations
Advantages
Seamlessly integrate Strava's professional sports data with Claude's AI capabilities
The configuration process is simple, and one-time setup allows for permanent use
It runs entirely locally, and data does not pass through third-party servers
Limitations
Basic knowledge of command-line operations is required for initial configuration
Only support data access from the Strava platform
Manual login to the Strava account is required for the first authorization
How to use
Get Strava developer keys
Visit the API settings page on the Strava official website to create an application and obtain the CLIENT_ID and CLIENT_SECRET
Configure the environment file
Fill in your Strava API credentials in the.env file in the project directory
Build the server program
Use the Gradle tool to generate an executable file
Configure the Claude desktop version
Add the server startup command and path to the Claude configuration file
Usage examples
Training progress trackingAutomatically generate a report on the change trend of training volume every week
Competition preparation analysisEvaluate whether the training preparation for a marathon is sufficient
Frequently Asked Questions
Is it free?
Will the data be stored on a third-party server?
What types of sports data are supported?
Related resources
Strava developer documentation
Official API interface instructions
GitHub project repository
Server source code and updates
Claude desktop version download
Official client download page
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