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445,110 tools. Updated 2026-08-11 19:33

"Using Strava Data for Analysis or Integration" matching MCP tools:

  • Connect your Strava account to enable activity tracking through secure browser authentication. Use this tool to link your account for accessing fitness data.
    MIT
  • Connect your Strava account to enable activity tracking and fitness data analysis. Opens a browser window for secure authentication to link your account.
    MIT
  • Retrieve detailed lap data from Strava activities for performance analysis. Access timestamps, speeds, distances, and metrics to track and compare athletic performance.
    MIT

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    Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.
    6

Matching MCP Connectors

  • Strava MCP tools for AI: athletes, activities, segments, clubs, routes. Powered by HAPI MCP server.

  • Hosted Strava MCP server that gives each user a personal URL to paste into Claude or ChatGPT. Ask about your training in plain English — pace, heart rate, overtraining, trends. More info and sign-up at https://askyourdata.health

  • Retrieve photos from a Strava activity to access visual content, URLs for display or download, and metadata including location and timestamps.
    MIT
  • Provides machine-readable install and runtime guidance for AI agents using Strava MCP, including client-specific setup and anti-gateway-restart instructions, without accessing Strava data or secrets.
    MIT
  • Explains supported Strava data, privacy boundaries, GPS handling, recommended agent workflow, and project links without calling Strava or exposing secrets.
    MIT
  • Fetch detailed data for a single Strava route using its path. Get type, difficulty, distance, elevation gain, estimated time, and summary.
    MIT
  • Retrieve detailed lap data for Strava activities to analyze performance metrics, track progress, and extract raw values for visualization.
    MIT
  • Discover supported Strava data domains, auth scope requirements, privacy boundaries, and recommended first calls without accessing user data or calling APIs.
    MIT
  • Exports a given Strava route to TCX format and stores it in a local folder, making route data available offline for analysis or sharing.
    MIT
  • Get segment efforts, climbs, and KOM/PRs for an activity. Automatically hydrates the matching Strava activity first, then returns persisted segment data for reliable analysis.
    AGPL 3.0
  • Check your local Strava MCP setup: validate config, token file, Node version, privacy mode, and cache readiness without contacting Strava or exposing secrets.
    MIT