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Query Apple Health data with natural language or SQL.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "apple-health-mcp" yet — see the docs or source repo.
Use natural language to query my step trend over the last 30 days and summarize it by day.
Returns a daily step summary and trend over the last 30 days.
Use SQL to query the total and average sleep duration for the past week.
Outputs the SQL query results for sleep duration.
Compare my heart rate and step changes over the last 14 days and note any synchronous swings.
Returns a comparison of both metrics with a brief conclusion.
Useful for reviewing Apple Health data trends such as steps, sleep, and heart rate. It lets you ask in plain language instead of writing complex queries.
Useful when you need summaries, samples, or cross-metric comparisons from health data. SQL can be used for more precise analysis.
Useful for integrating Apple Health querying into MCP-enabled workflows. Natural-language queries can act as a health-data retrieval interface.
It is an MCP server for querying Apple Health data, supporting both natural language and SQL.
You can ask in natural language or write SQL for more precise queries.
You need queryable Apple Health data and an MCP-capable client; see the source repository for details.
Query and export Apple Health data with trends, comparisons, and structured results.
Import Apple Health exports and query health and workout data in natural language.
Query Google Health fitness data in natural language for quick personal insights.
Query Taiwan healthcare open data in natural language for analysis and decisions.
Query 190 Apple Health metrics locally for read-only health tracking and analysis.
Query personal health and cultural activity scores in natural language.