What are the prerequisites?
Python 3.12+, Strava API credentials (Client ID, Client Secret, Refresh Token), and pip.
@ctvidic
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"strava-mcp-server-ctvidic": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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