Apple Health MCP Server is a Model Context Protocol server designed for developers building health and fitness applications. It provides standardized tools for importing Apple Health XML exports, querying health data with natural language, and building AI-powered wellness applications.
Developers building fitness and wellness applications struggle with Apple Health data integration. The XML export format is complex, health data queries require manual parsing, and there's no standardized way to integrate Apple Health data with AI agents or analytics platforms.
Apple Health MCP Server provides developers with standardized tools for integrating Apple Health data into AI applications, analytics platforms, and wellness services through the Model Context Protocol.
Robust XML parsing and import system for Apple Health exports. Handle complex nested data structures, workout records, and device metadata with streaming processing for large datasets.
Enable users to query health data conversationally: "Show workouts with heart rate above 150 BPM last month." Perfect for building AI-powered health assistants and analytics dashboards.
Production-ready Elasticsearch integration for indexing and searching health records at scale. Optimized for time-series data with configurable indices and aggregation pipelines.
Pre-built tools for statistics, trend analysis, and health metric correlations. Generate insights across multiple health data types with built-in aggregation functions.
Complete MCP server implementation with health-specific tools. Integrate with Claude Desktop, custom AI agents, or any MCP-compatible client for conversational health data access.
Modular design with separate XML processing, Elasticsearch operations, and MCP tool layers. Easy to extend, customize, and integrate into existing health application architectures.
See how Apple Health MCP Server enables developers to build AI-powered health applications with natural language interfaces and real-time data processing.
This demo shows how to integrate Apple Health MCP Server into a custom application, enabling users to query their health data and get AI-powered insights through natural language.
Build AI-powered fitness coaching apps, workout recommendation systems, and performance analytics platforms. Integrate Apple Health data to provide personalized training insights and progress tracking.
Perfect for developers building fitness apps, personal training platforms, and wellness coaching solutions.

Create comprehensive health analytics dashboards and data visualization tools. Enable users to explore their health data through natural language queries and automated trend analysis.
Ideal for developers building health tracking applications, wellness platforms, and quantified-self tools.

Build conversational AI assistants that can answer complex questions about user health data. Integrate with existing health applications or create standalone health coaching bots.
Essential for developers creating AI-powered health assistants, chatbots, and conversational health applications.


Export your Apple Health data, set up the MCP server, and start asking intelligent questions about your wellness journey today.
Explore technical guides and insights on building AI-powered health applications using Apple Health data and MCP integration.

Discover Apple Health MCP Server—our open-source tool to export Apple Health data into Elasticsearch for analysis. Structure, tools, and use cases inside.

At Momentum, we believe personal health data insights shouldn't be limited to big tech companies or require complex data science expertise to implement. That's why we build and open-source the tools that make Apple Health data accessible to every developer building wellness and fitness applications.