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521,397 tools. Updated 2026-09-06 11:00

"Strava" 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
  • Disconnect your Strava account and remove stored credentials. Use this to log out or revoke access when you want to end the connection.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • 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

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

  • Check whether your Strava account is connected to the MCP server and view the current connection status. Use this to confirm connectivity or troubleshoot issues.
    MIT
  • Retrieve a Strava club's public profile with name, location, member count, description, and images.
    MIT
  • Avoid gateway restarts and secret exposure using machine-readable install, runtime, and client guidance for AI agents, including Hermes tool names. No Strava calls.
    MIT
  • Learn which Strava data is supported, how privacy and GPS details are handled, and how to structure agent workflows—without making Strava API calls or exposing secrets.
    MIT
  • Revoke your Strava OAuth access and delete the stored token to fully disconnect the integration. Use only when you explicitly ask to stop sharing Strava data.
    MIT
    Destructive
  • Preview realistic example responses from Strava daily summary, training context, and activity list tools to understand data structures before making real API calls.
    MIT
  • Review supported Strava data domains, required auth scopes, and privacy boundaries before making API calls. Get recommended first steps without exposing user data.
    MIT
  • Normalize recent Strava activity into a compact training context for workout recommendations, with fallback guidance when no recent activity exists.
    MIT
  • Check local Strava setup readiness by validating config, token file, Node version, privacy mode, cache, and optional MCP client—without contacting Strava or exposing secrets.
    MIT
  • Generate a daily training load summary from recent Strava activities. Review training context over a selectable window with a read-only, non-medical overview.
    MIT