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Using Strava Data for Analysis or Integration MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

47,334 tools. Last updated 2025-12-28 21:09
  • Retrieve detailed lap metrics for any Strava activity, including timestamps, speeds, heart rate, and elevation data, for analysis, visualization, or performance tracking.
    MIT License
  • Retrieve detailed Strava activity metrics, including type, distance, and time, using the activity ID. Ideal for extracting specific workout data for analysis or integration.
    MIT License
  • Export chat data in JSON, CSV, or Graph formats for analysis, visualization, or integration. Filter by projectPath for codebase-specific insights, generate datasets for ML, or prepare data for tools like Tableau.
    MIT License
  • Extract and analyze detailed time-series data from Strava activities, including heart rate, power, speed, and GPS coordinates. Choose data resolution and format for workout analysis, route visualization, or segment insights.
    MIT License
  • Extracts and analyzes Strava activity data by activity ID, returning detailed insights in a structured format for integration and usage.
    MIT License
  • Retrieve comprehensive details of a specific Strava activity using its unique ID. Enables precise access to activity data for analysis or integration purposes.
    MIT License

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