Strava FAQs

Question 1

What kind of data can I access through Strava MCP?

Accepted Answer

You can access activity details (distance, pace, route maps), athlete statistics (year-to-date totals, personal records), social data (kudos, comments), and route information (maps, segment analysis) through the API.

Question 2

How can I use Strava MCP with a language model like Claude?

Accepted Answer

Update your Claude Desktop configuration with the provided JSON snippet, pointing to the `strava_server.py` script. This will allow Claude to access and analyze your Strava data based on your prompts.

Question 3

What is Strava MCP?

Accepted Answer

Strava MCP (Model Context Protocol) is a server that allows language models to interact with the Strava API. It enables you to access and analyze your Strava data, like activities, athlete information, and routes, using natural language.

Question 4

How do I install and configure Strava MCP?

Accepted Answer

First, clone the repository and create a virtual environment. Then, install the dependencies using `pip install -r requirements.txt`. Finally, configure your Strava API credentials in a `.env` file.

Question 5

What are the prerequisites for using Strava MCP?

Accepted Answer

You need Python 3.12 or higher, Strava API credentials (Client ID, Client Secret, and Refresh Token), and pip (the Python package installer).

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