apple-health-mcp-server

Overview

The Apple Health MCP Server allows users to connect their Apple Health data with any LLM that supports MCP. It enables natural language queries for health data analysis without requiring knowledge of SQL or complex data structures. Built on FastMCP framework with DuckDB, Elasticsearch or ClickHouse integration for efficient processing of large health datasets.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• analyze_data_types

  Analyze available data types and quantities in Apple Health data

  Try:Check what data is available and how much of it there isTry:Show me all data types in my health data
• query_activity

  Query and analyze activity data from Apple Health records

  Try:What can you tell me about my activity in the last week?Try:How did my daily statistics look?
• summarize_workouts

  Summarize running workouts and other exercise data

  Try:Summarize my running workouts in July and JuneTry:Show me my cycling statistics from last month
• search_health_records

  Search and filter health records with natural language

  Try:Find all my sleep records from last monthTry:Show me heart rate data from my workouts
• extract_type_data

  Extract data of specific types from Apple Health records

  Try:Extract all weight measurementsTry:Get all blood pressure readings
• generate_statistics

  Generate statistics and trend analyses from health data

  Try:Generate statistics for my daily stepsTry:Analyze trends in my heart rate over time
• parse_health_xml

  Parse and import Apple Health XML export files

  Try:Parse my Apple Health export fileTry:Import health data from XML
• index_data

  Index health data for efficient querying with Elasticsearch, ClickHouse or DuckDB

  Try:Index my health data in DuckDBTry:Set up Elasticsearch indexing for my Apple Health data
• find_hidden_trends

  Identify hidden trends in health data using advanced analysis

  Try:Find trends in my sleep patternsTry:Identify unusual patterns in my activity data
• analyze_workouts

  Analyze workout data from Apple Health records

  Try:Analyze my running performance dataTry:Compare my workout intensities over time
• get_health_data_summary

  Get a comprehensive summary of health data

  Try:Give me a summary of my health dataTry:What's an overview of my health metrics?
• filter_records

  Filter health records based on specific criteria

  Try:Filter my records to show only high-intensity workoutsTry:Show me all records from this month

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Installation

git clone https://github.com/the-momentum/apple-health-mcp-server.git
cd apple-health-mcp-server

pip install -r requirements.txt

cp .env.example .env
# Edit .env with your configuration

python -m mcp_server.app

{
  "mcpServers": {
    "apple-health": {
      "command": "python",
      "args": ["-m", "mcp_server.app"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}

FAQ

What data sources are supported?

The server primarily supports Apple Health XML exports, but is designed with modular architecture to support other wearable data sources.

Do I need technical skills to use this MCP server?

No, you can query your health data using natural language without needing SQL or database knowledge.

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