Strava MCP Server

@ctvidic

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

ctvidic

Strava MCP Server について

概要はまだありません

#strava #mcp-server #api-integration

Strava MCP Server の設定

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": {
    "strava-mcp-server-ctvidic": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Strava MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Strava MCP Server?

A Model Context Protocol (MCP) server that provides access to the Strava API, enabling language models to interact with Strava data including activities, athlete information, and more.

How to use Strava MCP Server?

Install Python 3.12+, clone the repository, create a virtual environment, install dependencies, configure a config/.env file with Strava API credentials (Client ID, Client Secret, Refresh Token), then run via Claude Desktop configuration or as an HTTP server. With Claude you can ask natural‑language queries about activities, performance, social interactions, and achievements.

Key features of Strava MCP Server

Activity tracking and analysis
Athlete statistics
Route visualization
Achievement tracking
Social features (kudos, comments)

Use cases of Strava MCP Server

Query recent activities and get detailed run/ride summaries
Analyze personal performance trends (pace, heart rate, elevation gain)
Retrieve social interactions and club activity data
List segment achievements and personal records
Visualize activity route maps and elevation profiles

よくある質問

What are the prerequisites?

Python 3.12+, Strava API credentials (Client ID, Client Secret, Refresh Token), and pip.

How do I obtain Strava API credentials?

Go to https://www.strava.com/settings/api, create a new application, and follow the OAuth 2.0 flow to get your refresh token.

What data can I access through Claude?

Activity details (distance, duration, pace, heart rate, power, cadence, splits, weather), athlete statistics, personal records, training load, social kudos and comments, club activities, segment efforts, and route maps with elevation data.

How can I run the server as an HTTP endpoint?

Start the server with `./run_server.sh` and access endpoints like `GET /activities/recent`, `GET /activities/{id}`, `GET /activities/{id}/map`, and `GET /athlete/stats` at `http://localhost:8000`.

What should I never commit?

The `.env` file and API credentials; the `.gitignore` file is configured to prevent sensitive data from being committed.

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