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ArjanLig

Strava MCP Server

by ArjanLig
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TypeScript
Remote

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    Related Servers

    • claudex-strava-mcp

      mossydidar
      F
      license
      A
      quality
      D
      maintenance
      Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
      8
      -

    • Strava MCP Server

      KerkhofMe
      A
      license
      B
      quality
      D
      maintenance
      Connects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance metrics. It enables users to analyze training progress, compare workouts, and retrieve specific segment details through natural language queries.
      8
      182 npm
      ISC
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct analysis or information retrieval function, such as workout quality, gear maintenance, heart rate drift, power curve, and training load. No two tools have overlapping purposes, making it clear which tool to use for a given query.

    Naming Consistency4/5

    All tools follow a verb_noun pattern using snake_case, with most starting with 'get'. One tool uses 'check' instead of 'get', and a few use abbreviations like 'hr' and 'stats', but these are minor deviations that don't affect readability.

    Tool Count5/5

    With 10 tools, the set is well-scoped for a Strava analysis server covering key metrics like heart rate, power, training load, and gear maintenance. It's not too many to be overwhelming nor too few to be trivial.

    Completeness4/5

    The tool set comprehensively covers training analytics (HR, power, load, weekly stats, planning) and basic activity retrieval. Minor gaps exist, such as no tool for updating activity details or managing goals, but the core analysis workflows are well-supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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