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Access Withings health data with OAuth, caching, and trend analysis.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.partymola/withings-mcp" MCP server from askskill: Run: claude mcp add 'io-github-partymola-withings-mcp' -- npx -y withings-mcp
Researchers or data analysts can connect to the Withings Health API, retrieve health data, and run trend analysis. It is useful for reviewing changes in metrics like weight or sleep over time.
Developers can connect this MCP server to an MCP-compatible AI client so the assistant can read Withings data after authorization. This enables summaries and analysis grounded in real health records.
When the same health data needs to be queried repeatedly, the local SQLite cache can reduce repeated API access. This is useful for iterative analysis or ongoing trend comparisons.
This is an MCP server for the Withings Health API. It provides OAuth authorization, a local SQLite cache, and trend analysis capabilities.
Based on the description, it depends on the Withings Health API and uses OAuth for authorization. For exact installation steps or credential configuration, see the source repository.
Beyond basic API access, this tool adds an MCP interface, local SQLite caching, and trend analysis. That makes it more suitable for AI assistants or automated workflows using health data directly.
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