What are the prerequisites?
Python 3.12+, Strava API credentials (Client ID, Client Secret, Refresh Token), and pip.
@ctvidic
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"strava-mcp-server-ctvidic": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
Python 3.12+, Strava API credentials (Client ID, Client Secret, Refresh Token), and pip.
Go to https://www.strava.com/settings/api, create a new application, and follow the OAuth 2.0 flow to get your refresh token.
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.
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`.
The `.env` file and API credentials; the `.gitignore` file is configured to prevent sensitive data from being committed.
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