data-ai MCP Server
MCP server for querying Apple Health data with natural language using DuckDB under the hood.
Discovered via unknown and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Health app developers and data engineers who need programmatic access to Apple Health data without building custom integrations. AI/ML engineers building personalized health analytics benefit from natural language querying capabilities, while data analysts can rapidly explore health metrics across users without writing complex database queries.
Query Apple Health workouts using natural language to identify exercise patterns, duration trends, and calorie burn metrics. Useful for fitness app dashboards and training analytics.
Access medication records and correlate with health outcomes. Developers can build adherence tracking features by querying health data with plain English commands.
Pull heart rate, blood pressure, and sleep data across multiple users for cohort analysis. Researchers can use natural language to filter and aggregate health metrics without SQL expertise.
Feed Apple Health data into Claude via this MCP to generate personalized health summaries, anomaly detection, or wellness recommendations based on historical patterns.
This MCP server connects to Claude, allowing you to reference Apple Health data in prompts and get natural language results. Claude can query the DuckDB backend directly, so you access health data conversationally within your Claude interactions.
No. The server translates natural language queries into DuckDB operations, so developers can ask questions like 'show my average heart rate by day' without writing SQL.
The server leverages DuckDB to query Apple Health data, supporting standard HealthKit types like workouts, vital signs, nutrition, sleep, and more—depending on what's available in the user's Health app.
This MCP provides data querying capabilities, so it works best with proper user consent and privacy controls in place. You'll need to implement authentication and data isolation at the application level to safely serve multiple users.