Apple Health Chat MCP
Enables Claude to answer natural language questions about your Apple Health data by analyzing local CSV exports, supporting metrics like steps, heart rate, sleep, and more.
README
Apple Health Chat MCP
Ask Claude natural language questions about your Apple Health data! This MCP server enables conversational analysis of your health metrics from iOS Health Export CSV files.
Example questions you can ask:
- "How active was I yesterday?"
- "Did I get enough sleep this week?"
- "What's my step count trend?"
- "Was my heart rate higher than usual today?"
Quick Start
-
Install & Build:
npm install && npm run build -
Set up your health data:
export HEALTH_EXPORT_DIR="/path/to/your/health/export/files" -
Configure Claude Desktop:
{ "mcpServers": { "apple-health-chat": { "command": "node", "args": ["/path/to/apple-health-chat-mcp/dist/index.js"], "env": { "HEALTH_EXPORT_DIR": "/path/to/your/health/files" } } } } -
Start asking questions! Restart Claude Desktop and chat about your health data.
Features
- Natural Language Queries: Ask questions in plain English
- Comprehensive Metrics: Steps, heart rate, sleep, energy, and more
- Flexible Time Periods: Today, yesterday, last week, custom ranges
- Local Processing: CSV files stay on your device
- Privacy Transparent: Query results sent to Claude (not raw data)
Supported Health Metrics
Automatically detects metrics from your Health Export files:
- Step Count, Heart Rate (Min/Max/Avg)
- Sleep Analysis, Active Energy
- And many more from your iOS Health app
Privacy & Data Flow
Your CSV files: Stored and processed locally on your device
When you ask Claude: Query results (like "8,500 steps") are sent to Claude for analysis
Raw health data: Never leaves your device
Get Your Health Data
- Use the iOS Health Export app to export your data
- Set
HEALTH_EXPORT_DIRto point to your CSV files - Keep personal data out of version control (see
.gitignore)
Development
npm run dev # Development mode
npm test # Run tests
npm run lint # Lint code
License
MIT
Support
- Issues - Report bugs or request features
Made with ❤️ for health-conscious people who want to chat with their data
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.