Интеграция Strava API с Model Context Protocol (MCP) SDK

Интеграция Strava API с Model Context Protocol (MCP) SDK

By MCP-Mirror GitHub

Mirror of

strava mcp
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?

  1. Analyzing running or cycling workouts to improve performance.
  2. Generating personalized training plans based on activity data.
  3. 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.

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?

  1. Analyzing running or cycling workouts to improve performance.
  2. Generating personalized training plans based on activity data.
  3. 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.

No tools information available.
School MCP
School MCP by 54yyyu

A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.

canvas mcp
View Details
repo-template
repo-template by loonghao

A Model Context Protocol (MCP) server for Python package intelligence, providing structured queries for PyPI packages and GitHub repositories. Features include dependency analysis, version tracking, and package metadata retrieval for LLM interactions.

-

google-calendar mcp
View Details
strava-mcp
strava-mcp by jeremysilva1098

MCP server for strava

strava mcp
View Details

Model Context Protocol (MCP) server implementation for Rhinoceros/Grasshopper integration, enabling AI models to interact with parametric design tools

grasshopper mcp
View Details

MCP configuration to connect AI agent to a Linux machine.

security mcp
View Details

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

python mcp
View Details