Apple Health MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Apple Health Data Exploration
> [!NOTE]
> **This project has evolved into Open Wearables** - self-hosted platform to unify wearable health data from multiple devices, including Apple Health. Open Wearables also provides an MCP server and a companion app for continuous Apple Health data sync, eliminating the need for manual XML exports. Check it out: github.com/the-momentum/open-wearables
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Connect your Apple Health data with any LLM that supports MCP. Talk to your data and get personalised insights.
💡 Demo
This demo shows how Claude uses the apple-health-mcp-server to answer questions about your data. Example prompts from the demo:
- I would like you to help me analyze my Apple Health data. Let's start by analyzing the data types - check what data is available and how much of it there is.
- What can you tell me about my activity in the last week? How did my daily statistics look?
- Please also summarise my running workouts in July and June. Do you see anything interesting?
https://github.com/user-attachments/assets/93ddbfb9-6da9-42c1-9872-815abce7e918
Want to try it out? **🚀 Getting Started**
🌟 Why to use Apple Health MCP Server?
- **🧩 Fit your data everywhere**: using this software you can import data exported from Apple devices into any DBMS, base importer is already prepared for extensions
- **🎯 Simplify complex data access**: you don't need to know data structure or use any structured query language, like SQL, simple access is just granted with natural language
- **🔍︎ Find hidden trends**: use LLM as a gate to flexible auto-generated queries which will be able to find data trends not so easy to detect manually
✨ Key Features
- **🚀 FastMCP Framework**: Built on FastMCP for high-performance MCP server capabilities
- **🍏 Apple Health Data Exploration**: Import, parse, and analyze Apple Health XML exports
- **🔎 Powerful Search & Filtering**: Query and filter health records using natural language and advanced parameters
- **📦 Elasticsearch, ClickHouse or DuckDB Integration**: Index and search health data efficiently at scale
- **🛠️ Modular MCP Tools**: Tools for structure analysis, record search, type-based extraction, and more
- **📈 Data Summaries & Trends**: Generate statistics and trend analyses from your health data
- **🐳 Container Ready**: Docker support for easy deployment and scaling
- **🔧 Configurable**: Extensive -based configuration options
📚 Documentation
- **🚀 Getting Started** - Complete setup guide
- **🔍 About** - Detailed description & architecture
- **🔧 Configuration** - Environment variables and settings
- **🛠️ MCP Tools** - All available tools
- **🗺️ Roadmap** - Upcoming features and roadmap