strava api connector

The problem

Integrating fitness data manually involves handling complex OAuth flows, rate limiting, and fragile API responses. Developers often struggle with inconsistent data structures and caching logic when trying to fetch Strava activities.

What it does

• Connects to the Strava API via a specialized MCP tool to fetch activity data.
• Manages session state and caching to reduce redundant API calls and latency.
• Handles common API errors like rate limiting and missing credentials with specific error codes.
• Processes data requests for specific activity types such as running or cycling.

Frameworks & tools

Strava API, MCP (Model Context Protocol), Node.js/Python environment variables.

Why this beats prompting it yourself

Direct prompting often leads to hallucinated API responses or incorrect parameter formatting. This skill provides a structured schema and internal state management that prevents data invention and manages session-based caching automatically.

Use cases

• Build fitness dashboards that pull fresh Strava activity logs.
• Analyze training patterns across multiple sessions using cached data.
• Automate activity reporting for coaching or community leaderboards.

Known limitations

Requires an active Strava access token and the STRAVA_API_KEY environment variable. Does not support automated OAuth refreshing if the token expires during a session.