Strava FAQs

Question 1

Which AI clients are compatible with this tool?

Accepted Answer

The server is built with TypeScript and communicates over stdio, making it compatible with any MCP-enabled client. This includes popular platforms such as Claude Desktop and OpenCode, allowing for seamless integration.

Question 2

What types of Strava data can AI agents access?

Accepted Answer

AI agents can retrieve a wide range of data including detailed activity summaries (distance, time, elevation, speed, heart rate), raw time-series data (GPS, heart rate, altitude, power), decoded GPS routes, athlete profiles, and comprehensive performance statistics (recent, YTD, all-time totals).

Question 3

What are the prerequisites for setting up this Strava AI tool?

Accepted Answer

You need Node.js 20+ and a Strava API application. This requires obtaining a Client ID, Client Secret, and an access token (with optional refresh token credentials for automatic token renewal) from the Strava developer portal.

Question 4

What is Strava for AI Agents?

Accepted Answer

This tool is an MCP (Model Context Protocol) server designed to connect AI agents directly to the Strava API v3. It enables AI agents to access and interpret athletic performance data through natural language commands.

Strava

Key Features

Use Cases

Strava

Key Features

Use Cases