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Access normalized Withings weight and body composition history via OAuth 2.0.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "withings-mcp" yet — see the docs or source repo.
Use withings-mcp to fetch my latest weight and body composition measurements, and present the values in a clear list.
A list of the latest normalized measurements, such as weight and related body composition values.
Use withings-mcp to extract my weight history and organize it into a table in chronological order.
A date-sorted table of weight history for later trend analysis.
Use withings-mcp to read my Withings historical measurements and return normalized fields for downstream analysis.
Structured historical measurement data with normalized fields, ready for analysis.
Developers can connect this MCP tool to an MCP-compatible AI workflow so the model can read Withings weight and body composition history. It fits scenarios where AI needs to organize or summarize personal measurement records.
Data analysts or researchers can extract weight history and arrange it over time for trend review. Normalized measurements also help with downstream statistical analysis.
When a user only needs the most recent measurement, the tool can directly return the latest weight and body composition data. This avoids manually checking device or app records.
It is a read-only MCP server for accessing Withings weight and body composition history. It provides normalized measurements, weight history, and the latest measurements.
The description states that it accesses Withings data via OAuth 2.0. For detailed setup steps, see the source repository.
No. The description explicitly says it is read-only, so it is for retrieving historical and latest measurements rather than writing or changing data.
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