Analyze daily health trends from Apple Health data to track metrics like steps, heart rate, sleep, and weight over time.
MIT
152,948 tools. Last updated 2026-05-28 16:21
"Fetching health data from an Apple Watch, including sleep, heart rate, and activity" matching MCP tools:
- Retrieve daily Apple Health metrics including steps, heart rate, sleep stages, workouts, and body composition from local iCloud storage for health analysis.MIT
- Build a weekly health scorecard combining activity, sleep, and heart data from Google Health. Includes comparison to prior weeks and flags missing data.MIT
- Generate a weekly Fitbit scorecard covering activity, sleep, heart rate, HRV, bottlenecks, and suggested actions. Compare current week to a prior period.MIT
- Build a practical daily summary from your Fitbit activity, sleep, heart rate, HRV, and weight data. Intended for non-medical use only.MIT
- Retrieve raw sleep data for a specified date, including detailed heart rate and SpO2 measurements.MIT
Matching MCP Servers
- AlicenseBqualityDmaintenanceEnables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.Last updated2381MIT
- Alicense-qualityCmaintenanceAn MCP server that allows users to query and analyze their Apple Health data using SQL and natural language, utilizing DuckDB for fast and efficient health data analysis.Last updated109542MIT
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- Retrieve a consolidated health summary including sleep, activity, and heart rate data for a specific date to support wellness tracking and planning.
- Retrieve a project decision status overview with total count and last activity for a quick health check of the decision store.MIT
- Get API usage statistics for a specified time period, including active scout counts, rate limits, and activity metrics.Apache 2.0
- Retrieve detailed interval metrics for fitness activities including power, heart rate, cadence, speed, and environmental data from Intervals.icu training platform.GPL 3.0
- Get real-time health metrics like bitrate, frame rate, and latency for a specific stream. Monitor stream performance and identify issues promptly.MIT
- Retrieve time-series fitness data for specific activities from Intervals.icu, including power, heart rate, cadence, altitude, distance, temperature, and velocity metrics.GPL 3.0
- Sync health data from Fitbit to a local cache for offline access. Execute this tool first to fetch heart rate, activity, sleep, and more incrementally.GPL 3.0
- Fetch sleep time-series data for a single calendar day, including deep, light, REM, awake, total sleep, efficiency, and sleep score. Returns empty if no sleep recorded.MIT
- Retrieve nightly HRV data (daily_rmssd and deep_rmssd) from Fitbit Premium. Returns cached data by default or fetches live from Fitbit API. Requires on-wrist sleep tracking for readings.GPL 3.0
- Retrieve daily resting heart rate and heart rate zone breakdown (Out of Range, Fat Burn, Cardio, Peak) from Fitbit. Choose between cached or live data, and customize date range for targeted analysis.GPL 3.0
- Retrieve sleep data per night: total minutes, efficiency, start/end times, and stage minutes (deep, light, REM, wake). Uses cached data unless live flag is set. Supports date range up to 30 days.GPL 3.0
- Retrieve detailed status of an agent including active state, balance, strategy, daily activity, recent log, and position history. Monitor agent health and debug issues.MIT
- Retrieve 24/7 activity time-series data for a date range, including steps, heart rate, and other metrics, with chronologically ordered samples. Days without synced data are omitted.MIT
- Analyze trends in Fitbit data using cached averages and totals over weekly, monthly, or quarterly periods. Supports heart rate, activity, sleep, weight, SpO2, and HRV. Compare two periods to identify changes.GPL 3.0