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Alternatives to Cotlet.dev

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    Related Servers

    • A
      license
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      A read-only MCP server that lets AI assistants query a user's own training, recovery, sleep, activity, and wellness data through the official Garmin Connect Personal API. It can run locally or be self-hosted on Cloudflare Workers for access from Claude and other MCP clients.
      27
      407 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that connects Garmin Connect data to Claude, enabling training analysis, recovery checks, and personalized plans based on real metrics like HRV, training load, and activities.
      21
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Local-first MCP server that connects AI agents to your Garmin sleep, HRV, Body Battery, stress, training readiness and activities, keeping tokens on your machine.
      4
      42
      484 npm
      13
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A local MCP server that exposes your Garmin Connect data—sleep, HRV, training readiness, workouts, and more—to any MCP-compatible AI assistant. Runs entirely on your machine and keeps your Garmin credentials private.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      An MCP server that provides access to Garmin Connect fitness, health, and training data through 61 specialized tools. It enables users to query activities, sleep metrics, and performance stats directly within AI clients like Claude or Cursor.
      97
      223 npm
      190
      MIT
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      A read-only remote MCP server that connects Claude to your own Garmin Connect account through Garmin's official Personal API, running on Cloudflare Workers with OAuth sign-in so it also works in the Claude mobile app. It lets you ask natural-language questions about sleep, HRV, resting heart rate, Body Battery, stress, daily summaries and activities across date ranges.
      MIT