Connects Claude to Strava fitness data, enabling natural language queries about your training history.
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This Model Context Protocol (MCP) server integrates Claude with your Strava fitness data, allowing you to ask questions about your real training history using plain English. Forget dashboards and manual exports; simply query Claude directly. Built with TypeScript, the MCP SDK, and Zod schema validation, it includes features like automatic OAuth token refresh to ensure seamless access to your Strava data. It transforms your natural language questions into structured queries against the Strava API, providing insights into activities, stats, routes, and more.
主な機能
01Automatic OAuth token refresh for continuous API access
02Seamless integration with Claude Desktop and other MCP-compatible clients
03Query Strava fitness data using natural language via Claude
04Provides 8 distinct MCP tools for various Strava data points (e.g., activities, athlete profile, stats, routes)
05Built with TypeScript and Zod for robust schema validation
060 GitHub stars
ユースケース
01Monitor training progress against targets, such as heart rate zones (e.g., 'Am I hitting my Zone 2 training targets?')
02Analyze detailed activity metrics and compare performance (e.g., 'Which of my activities had the most stop time?')
03Query personal activity counts and types for specific periods (e.g., 'How many walks did I do this month?')
