mcp-server-strava
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Integration for workout analysis and recommendations based on Strava data using Model Context Protocol SDK.
The MCP Server Strava integration allows users to analyze their workouts and receive personalized training recommendations by leveraging data from Strava. This integration utilizes the Model Context Protocol SDK to facilitate seamless communication and data exchange between the Strava API and the user's application. It supports features such as automatic token updates, rate limiting for API requests, and provides a structured approach to accessing and analyzing workout data. The integration is designed to work with Python 3.10+ and is recommended to be used with the 'uv' tool for installation and management. Users can set up their environment by configuring the Strava API settings and obtaining necessary access tokens. The integration also includes resources and tools for accessing activity details, training zones, and analyzing training loads.
Features
- Workout analysis from Strava
- Training recommendations
- Automatic token updates
- Rate limiting for API requests
Tools
analyze_activity
Analyzes a specific workout activity.
analyze_training_load
Analyzes the training load from multiple activities.
get_activity_recommendations
Provides training recommendations based on activities.
