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Strava MCP Server

@ctvidic

Strava MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

ctvidic

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"
      ]
    }
  }
}

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 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

FAQ from Strava MCP Server

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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