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Alternatives to vitals-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      A read-only MCP server that synchronizes Garmin Connect summaries into a local SQLite cache and provides tools to query daily activity, recent activities, and recovery data.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Syncs your own Garmin Personal API data into a local SQLite archive and lets any MCP-capable AI assistant query sleep, HRV, stress, body battery, training and activity trends through natural language, with optional interactive charts. Everything runs locally with your own API key, so private health data stays on your machine.
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      Apache 2.0
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      license
      B
      quality
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      maintenance
      Downloads all your Garmin health and fitness data into a local SQLite database and exposes 45 MCP tools for AI analysis, enabling assistants to query sleep, training load, HRV, and more.
      48
      134 PyPI
      164
      AGPL 3.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.
      1
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP hosts to query and analyze a local Samsung Health mirror, with tools for status, metadata, inventory, daily summaries, and aggregate analyses, plus optional bounded access to raw records and cloud synchronization.
      13 PyPI
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      A read-only MCP server that connects WHOOP data to AI assistants like Claude, Codex, and GitHub Copilot, enabling natural-language queries about recovery, sleep, HRV, strain, workouts, and personal health trends against your own baselines, plus HYROX and triathlon analytics. It runs locally, offers aggregate mode, and includes an interactive chart-first dashboard.
      4 npm
      MIT

    TDQS

    B3.3/5.0

    Scored across 8 tools

    Disambiguation4/5

    Tools target distinct resources and actions: daily aggregates, workouts, sleep sessions, raw heart rate, schema, SQL, reports, and sync. Minor overlap exists because get_daily summarizes sleep and get_report aggregates daily/workout data, but descriptions make boundaries clear.

    Naming Consistency4/5

    Six read tools follow get_<noun> (get_daily, get_workouts, get_sleep, get_heart_rate, get_schema, get_report), while run_sql and sync are action-oriented exceptions. Mostly consistent, though get_daily is slightly less noun-specific than the others.

    Tool Count5/5

    Eight tools are well-scoped for a personal vitals and analytics MCP. The set covers core queries, schema inspection, reporting, and ingestion without bloat or obvious redundancy.

    Completeness5/5

    The surface covers daily metrics, workouts, sleep, raw HR, arbitrary SQL, schema inspection, reporting, and sync/ingest, leaving no obvious dead ends for read and analytics workflows. Manual CRUD is absent, but the server is designed around exports and recomputation.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues