Withings
This Withings MCP server by gchallen provides health data retrieval from Withings smart scales through OAuth2 authentication and the official Withings API. Built with TypeScript and featuring automatic token refresh, it offers tools for accessing weight measurements, complete body composition data (fat mass, muscle mass, bone mass, hydration), raw measurement data with pagination, user management, and settings configuration with support for both metric and imperial units. The implementation includes a CLI-based OAuth flow for initial setup, environment variable configuration, comprehensive error handling with automatic token refresh, and user filtering capabilities, making it ideal for health tracking applications, fitness coaching workflows, and personal health data analysis where AI assistants need access to precise body composition metrics from Withings devices.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/gchallen/withings-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Withings from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.