Withings MCP Server
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Alternatives to Withings MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceProvides read-only access to Withings health metrics including body composition, sleep, workouts, and ECG data with local SQLite caching and trend analysis. Features incremental synchronization, automatic OAuth token refresh, and supports all 200+ Withings measurement types for comprehensive health tracking.853 PyPIGPL 3.0
- FlicenseNot gradedqualityCmaintenanceEnables 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-
- AlicenseAqualityBmaintenanceEnables access to Withings Health API data including body measurements, activity tracking, sleep analysis, workouts, and heart rate monitoring through OAuth2 authentication.81MIT
- FlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to access and analyze Oura Ring health data including sleep, readiness, activity, and stress metrics. Supports customizable queries, correlation analysis, and visualization capabilities for comprehensive health insights.-
- AlicenseNot gradedqualityBmaintenanceEnables access to Renpho smart-scale body-composition data via the Renpho Health cloud API, providing metrics, trends, and diagnostics to Claude.MIT
- AlicenseCqualityCmaintenanceProvides access to body composition data from Renpho smart scales, enabling users to query weight, BMI, body fat percentage, muscle mass, and other health metrics with trend analysis over customizable time periods.66MIT
TDQS
Scored across 17 tools
Several tools overlap: withings_get_measurements overlaps with the weight, body composition, blood pressure, SpO2, temperature, and heart rate getters, and withings_get_intraday_activity overlaps with continuous HR/temperature retrieval. The descriptions do a good job of clarifying boundaries, but the sheer number of closely related data-query tools creates some selection ambiguity.
All tools follow the consistent withings_<verb>_<noun> pattern using snake_case, with list_ reserved for collection enumeration and get_ for data retrieval. Even if some object names vary in specificity, the pattern is predictable and easy to infer.
At 17 tools, the server is slightly above the ideal 3-15 range, but the count is reasonable for the breadth of Withings health data domains. A few redundant measurement-specific wrappers around withings_get_measurements add bulk, but each tool still maps to a meaningful API use case.
The server covers the major Withings data domains well: devices, daily activity, intraday vitals, workouts, sleep summaries and detailed sleep, scale measurements, ECG, and goals. Minor gaps exist—such as no explicit user/profile retrieval and no write/update capabilities—but those are largely outside the apparent read-only scope.