The withings-mcp server lets you sync, query, and analyze Withings health data using a local SQLite cache with automatic OAuth token management.

• Sync data (withings_sync): Pull body, sleep, activity, and workout data from the Withings API into a local SQLite cache, with incremental updates fetching only new data since the last sync.

• Body composition (withings_get_body): Retrieve weight, fat percentage, muscle mass, bone mass, hydration, heart rate, blood pressure, and SpO2 for a given date range.

• Sleep data (withings_get_sleep): Get nightly summaries (duration, sleep score, HR, respiratory rate, snoring) or detailed minute-by-minute phase breakdowns (awake, light, deep, REM).

• Daily activity (withings_get_activity): Access step counts, distance, calories burned, and active time by intensity level.

• Workout sessions (withings_get_workouts): View individual sessions with type, duration, heart rate, calories, and distance; filterable by category (e.g., cycling, running).

• ECG & heart health (withings_get_heart): Fetch ECG recordings and atrial fibrillation (AFib) detection results live from compatible devices (ScanWatch, BPM Core).

• Connected devices (withings_get_devices): List all connected Withings devices with model info, battery level, firmware, and last session date (fetched live).

• Trend analysis (withings_trends): Compute weekly, monthly, or quarterly averages, min/max, and change indicators for body, sleep, or activity data, with period-over-period comparisons.

All data is stored locally for fast offline access and privacy. ECG and device info are fetched live from the API.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@withings-mcp show my weight trends for the last 3 months"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.