Интеграция Strava API с Model Context Protocol (MCP) SDK

Name: Интеграция Strava API с Model Context Protocol (MCP) SDK
Author: MCP-Mirror

@MCP-Mirror

リポジトリ

Интеграция Strava API с Model Context Protocol (MCP) SDK について

Mirror of

#strava #mcp #integration

基本情報

カテゴリ

開発者ツール

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

MCP-Mirror

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "rbctmz_mcp-server-strava": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "."
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Интеграция Strava API с Model Context Protocol (MCP) SDK?

An MCP server that connects Strava data to AI assistants via the Model Context Protocol. It analyzes workouts, provides training recommendations, and manages Strava API authentication automatically.

How to use Интеграция Strava API с Model Context Protocol (MCP) SDK?

Install Python 3.10+, clone the repository, and use uv to install dependencies. Configure a Strava API application, create a .env file from the template, run python scripts/auth.py to obtain tokens, then launch with mcp dev src/server.py.

Key features of Интеграция Strava API с Model Context Protocol (MCP) SDK

Read resources: activities, zones, clubs, gear
Tools: analyze_activity, analyze_training_load, get_activity_recommendations
Automatic token refresh for Strava API
Rate limiting (100 requests per 15 minutes)
Built with MCP Python SDK
MIT licensed, open source

Use cases of Интеграция Strava API с Model Context Protocol (MCP) SDK

Analyze a single run or ride to get pace, effort, and heart rate insights
Monitor total training load across multiple activities over time
Retrieve current heart rate and power zones for targeted workouts
Get personalized workout recommendations based on recent activity history
View detailed gear information used in Strava activities

FAQ from Интеграция Strava API с Model Context Protocol (MCP) SDK

What software is required?

Python 3.10+, Claude Desktop, a Strava account, and the uv package manager (recommended).

How do I obtain Strava API tokens?

Run python scripts/auth.py after setting up your Strava API application and filling the required client ID, client secret, and callback domain in the .env file.

Is there a rate limit?

Yes, the server enforces a rate limit of 100 API requests per 15 minutes to comply with Strava’s limits.

What resources and tools are exposed?

Resources: strava://activities, strava://activities/{id}, strava://athlete/zones, strava://athlete/clubs, strava://gear/{gear_id}. Tools: analyze_activity, analyze_training_load, get_activity_recommendations.

Is this server open source?

Yes, it is released under the MIT license and contributions are welcome via GitHub pull requests.

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