Skip to main content
Glama
partymola

withings-mcp

by partymola
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to withings-mcp

No user-submitted related servers found.

    Related Servers

    • Withings MCP Client

      gchallen
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables retrieval of health data from Withings smart scales including weight measurements and comprehensive body composition metrics like fat mass, muscle mass, and hydration levels. Supports multiple users, unit preferences, and OAuth authentication for secure access to personal health data.
      2
      ISC

    • Withings MCP Server

      Schimmilab
      A
      license
      A
      quality
      C
      maintenance
      Enables access to Withings Health API data including body measurements, activity tracking, sleep analysis, workouts, and heart rate monitoring through OAuth2 authentication.
      8
      1
      MIT

    • Personal Health Data

      emilniclashofseth
      A
      license
      A
      quality
      B
      maintenance
      Enables read-only access to your own Withings health data through a personal developer app, exposing body measurements, blood pressure, daily activity, sleep summaries, and linked devices for natural-language queries.
      8
      MIT

    • withings-mcp

      madebydia
      A
      license
      Not graded
      quality
      D
      maintenance
      Read-only Model Context Protocol server for Withings weight and body-composition history, providing normalized measurements, weight history, and latest measurements via OAuth 2.0.
      MIT
    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

    A4.7/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct data domain: activity, workouts, body composition, sleep, heart ECG, devices, and trend analysis. Cross-references are used effectively to prevent confusion between similar tools like activity vs workouts and body vs sleep.

    Naming Consistency4/5

    Most tools follow a clear withings_get_<resource> pattern, making the set predictable. The exceptions are withings_sync and withings_trends, which break the get- verb pattern but are still understandable and not chaotic.

    Tool Count5/5

    With 8 tools, the server is well-scoped for a health-data integration covering sync, raw data retrieval, and analysis. Each tool has a clear purpose and the count feels neither bloated nor thin.

    Completeness5/5

    The tool surface covers the major Withings health domains: activity, workouts, body composition, sleep, heart/ECG, devices, and trend analysis. The sync tool provides a reasonable update mechanism, and there are no obvious dead ends or missing lifecycle operations.

    Maintenance

    ActivityActive
    ResponsivenessSlow

    Resources