What are the prerequisites for running Strava?
You need Python 3.11+ and uv, or Docker. A Strava API application must be created at strava.com with the callback domain set to `localhost`.
@eddmann
基本信息
A comprehensive Model Context Protocol server for Strava integration. Query and analyze your activities, explore segments and routes, compare workouts, and track training progress. Includes 11 tools organized into Activities, Athlete, Segments, Routes, and Analysis categories, pl
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"strava": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"/ABSOLUTE/PATH/TO/strava-mcp.env:/app/.env",
"ghcr.io/eddmann/strava-mcp:latest",
"--transport",
"stdio"
]
}
}
}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 provides 11 tools to interact with a user's Strava account, organized into activities, athlete profile, segments, routes, and analysis. It also includes a resource for athlete context and prompt templates for common queries, enabling access through Claude, ChatGPT, and other LLMs.
Install using Python 3.11+ with uv or Docker, then run the interactive authentication wizard (strava-mcp-auth). Add the server to your Claude Desktop configuration using uv run or Docker commands, and then ask natural language questions about your activities, segments, routes, or training analysis.
You need Python 3.11+ and uv, or Docker. A Strava API application must be created at strava.com with the callback domain set to `localhost`.
For stdio mode, a one-time OAuth flow through the browser saves tokens to a `.env` file with auto-refresh. For HTTP mode, per-user OAuth flow stores tokens in a session store (in-memory or DynamoDB) with a configurable expiration (default 12 hours).
The server can read your athlete profile and zones, all activity data, activity summaries, and star/unstar segments. The required OAuth scopes include `profile:read_all`, `activity:read_all`, `activity:read`, and `profile:write`.
Yes, by running the server in HTTP mode and exposing it via ngrok or a public URL. Set `STRAVA_MCP_BASE_URL` to the ngrok URL and use that URL (with `/mcp` path) as your MCP server endpoint in ChatGPT.
Two modes: stdio (default, single-user via standard input/output) and HTTP (streamable HTTP, multi-user with separate sessions). Select with the `--transport` flag (e.g., `--transport http`).

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