Which AI clients are compatible with this tool?

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.

What types of Strava data can AI agents access?

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).

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

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.

What is Strava for AI Agents?

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

Name: Strava
Author: JohanBellander

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Connects AI agents to the Strava API v3, enabling natural language access to athletic performance data.

Strava is an MCP (Model Context Protocol) server designed to bridge AI agents with the Strava API v3. Built with TypeScript, it communicates over standard input/output (stdio), allowing any MCP-compatible client, such as Claude Desktop or OpenCode, to interact with your Strava data using natural language. This empowers AI agents to fetch activities, stream detailed data, retrieve routes, access athlete statistics, and more, providing a powerful interface for fitness data integration and analysis.

主な機能

01Monitor Strava API rate limits with warnings for nearing thresholds

02List and retrieve detailed Strava activities (distance, time, elevation, speed, heart rate)

03Obtain decoded GPS routes as coordinate arrays or GeoJSON

04Fetch authenticated athlete's profile and comprehensive statistics (all-time, YTD, recent totals)

05Access raw time-series activity data including GPS, heart rate, altitude, cadence, and power

060 GitHub stars

ユースケース

01Automate retrieval of athletic performance metrics for dashboards or custom applications via MCP clients

02Integrate personal Strava fitness data with AI agents for conversational querying and analysis

03Enable AI agents to generate summaries or insights from activity details, streams, and zone data