Skip to main content
Glama

Related Servers

Alternatives to fitbit-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Read-only MCP access to Fitbit-synced health data through Google Health API v4. Provides tools for metrics, summaries, trends, and data quality without write or arbitrary HTTP operations.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides read-only access to Fitbit health data (sleep, steps, heart rate, HRV) via local sync with Google Health API. Enables querying daily health summaries and trends through MCP tools without uploading data to cloud.
      6
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables recording meals and workouts in Traditional Chinese and writing them to a user's Fitbit/Google Health account via Google Health API v4, with local OAuth, dry-run previews, and idempotency safeguards.
      11
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.
      26
      345 npm
      66
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Provides local, read-only MCP access to Google Health API v4, enabling users to query recorded workouts, heart-rate samples, and related health data through natural language in an MCP client.
      3
      56 npm
      MIT

    TDQS

    A3.8/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools have distinct roles: preview_meal vs preview_water differ by resource, and commit/cancel/remove/operation form a clear write lifecycle. However, the read trio (fitbit_read, fitbit_activity, fitbit_summary) all return day-based health data and require careful reading of descriptions to distinguish raw vs rollup vs normalized.

    Naming Consistency4/5

    All tools share a consistent fitbit_ snake_case prefix, which is highly predictable. Minor deviation: most names are verb-led (read, compare, preview_meal) while a few are noun-led (status, devices, operation), but the pattern remains readable and coherent.

    Tool Count5/5

    13 tools sits squarely in the well-scoped 3-15 range. Each tool earns its place, covering read, compare, and a full meal/water draft lifecycle without obvious redundancy.

    Completeness4/5

    The surface covers reads (raw/activity/summary), comparison, device/status metadata, and a full draft-commit-cancel-remove write lifecycle with operation inspection. The main gap is no in-place update for corrections, handled non-atomically via remove+new preview, which is a minor workaround.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues