What software is required?
Python 3.10+, Claude Desktop, a Strava account, and the `uv` package manager (recommended).
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"rbctmz_mcp-server-strava": {
"command": "uv",
"args": [
"pip",
"install",
"."
]
}
}
}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。
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.
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.
Python 3.10+, Claude Desktop, a Strava account, and the `uv` package manager (recommended).
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.
Yes, the server enforces a rate limit of 100 API requests per 15 minutes to comply with Strava’s limits.
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`.
Yes, it is released under the MIT license and contributions are welcome via GitHub pull requests.

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