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Aggregate and query personal health data across sources with attribution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "personal-health-mcp" yet — see the docs or source repo.
Please read my Google Health, Oura, and Withings data, summarize today's sleep, steps, heart rate, and weight, and label the source for each metric. If the same metric exists in multiple sources, prioritize it using my configured source of truth.
A daily health summary grouped by metric, including values, time ranges, source attribution, and which source was prioritized.
Please compare the past 30 days of sleep duration, resting heart rate, and weight records from Oura and Withings, identify the dates with the largest differences, and explain which source appears more complete.
A cross-source discrepancy analysis listing key dates, value differences, trend observations, and notes on data completeness.
Using my aggregated health data from the last 7 days, generate a weekly report summarizing activity levels, sleep recovery, and weight change trends, and attach the corresponding data source to each conclusion.
A concise weekly report with major trends, anomaly flags, source labels, and actionable health observations.
Store personal health data locally for AI logging, retrieval, and analysis.
Access Google Health data through a privacy-first MCP server for agents.
Sync workouts and nutrition data through one MCP interface for analysis.
Query Google Health fitness data in natural language for quick personal insights.
A personal assistant MCP server for calendars, tasks, and wellness logging.
Access Google Health metrics and optionally sync them into Obsidian notes.