- Интеграция Strava API с Model Context Protocol (MCP) SDK
Интеграция Strava API с Model Context Protocol (MCP) SDK
Overview
What is the Strava MCP Integration?
The Strava MCP Integration is a project that connects the Strava API with the Model Context Protocol (MCP) SDK to analyze workouts and provide training recommendations based on Strava data.
How to use the Strava MCP Integration?
To use the integration, clone the repository, install the required dependencies, set up your Strava API credentials, and run the server to access the API endpoints for workout analysis and recommendations.
Key features of the Strava MCP Integration?
- Analyzes workouts from Strava
- Provides training recommendations
- Automatically refreshes tokens
- Implements rate limiting for API requests
Use cases of the Strava MCP Integration?
- Analyzing running or cycling workouts to improve performance.
- Generating personalized training plans based on activity data.
- Monitoring training loads and recovery zones for athletes.
FAQ from the Strava MCP Integration?
- What programming language is used?
The integration is built using Python 3.10 and above.
- Is there a license for this project?
Yes, the project is licensed under the MIT License.
- How can I contribute to the project?
You can fork the repository, make changes, and submit a pull request.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
MCP-MirrorStar
0Language
PythonLicense
MIT licenseCategory
research-and-data
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