Strava

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This Model Context Protocol (MCP) server acts as a robust gateway to your personal Strava fitness data, specifically engineered for seamless integration with AI agents. It offers a comprehensive suite of tools to programmatically fetch activities, retrieve detailed workout information, view all-time athlete statistics, and analyze performance trends over time. With integrated real-time webhook support, AI systems can receive instant notifications for activity creations, updates, or deletions, empowering them to deliver timely insights and personalized feedback. Designed for easy deployment on platforms like Railway, it serves as a crucial component for connecting AI applications such as Poke.com and Claude Desktop to your Strava activity stream.

Características Principales

• Fetch recent activities with filters for date range and sport type.
• Retrieve detailed information for any activity, including splits, segments, and map data.
• Access all-time athlete statistics, including recent, year-to-date, and overall totals.
• Analyze performance trends over time for various metrics like pace, distance, and elevation.
• Receive instant, real-time notifications for Strava activity creations, updates, or deletions via webhooks.
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Casos de Uso

• Building AI-powered personal fitness coaches that leverage Strava activity data.
• Automating the analysis of personal workout performance and trends for AI agents.
• Enabling real-time alerts and insights from Strava activities within AI applications.