Retrieve a summary of Apple Health data from Elasticsearch, including total record count, type breakdown, and optional date range aggregation for analysis.
Analyze the structure and metadata of Apple Health XML export files to identify root elements, record types, workout types, and data sources without loading full content for quick insights.
Extract specific health record types from Apple Health XML files for analysis. Specify the record type and limit to retrieve up to a defined number of XML elements. Use for efficient, targeted data extraction.
Analyze health record statistics by type from Apple Health data stored in Elasticsearch. Retrieve total record count, value summaries, and source breakdowns to assess distribution, trends, and data quality for specific health metrics.
Discover connected Apple devices (iPhone, iPad, Apple Watch, Apple TV, Apple Vision Pro) with UUIDs, names, and connection status for streamlined testing workflows.
Find specific records in Apple Health XML files by searching attribute values. The tool returns matching XML elements, limiting results to a specified maximum. It streams data for memory efficiency.
An 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.
A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.