Provides the runtime environment required to run the Theta Health MCP server, allowing it to connect health data with AI assistants.
Theta Health MCP Server
Connect your Health Data to Cursor, Claude, Cherry Studio, Windsurf, and other AI assistants.
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Theta Health. It connects AI assistants directly with your Theta Health project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.
Setup
Configure your MCP client (such as Cursor / Cherry Studio) to use this server. Most MCP clients store the configuration as JSON in the following format:
You will need to login in with oauth2.0 for the first time.
If you have npx tool in your runtime, you can also use this:
Claude Desktop
One-click for add Theta Health MCP to Claude Desktop by Claude Desktop Extension:
https://github.com/theta4ai/theta-health-mcp-dxt
Claude Desktop Extensions: One-click MCP server installation for Claude Desktop
Claude Code
Related MCP server: MCP Server for Google Cloud Healthcare API
Tools
for example
get_medical_records: Retrieve medical records including blood tests, laboratory results and clinical measurements
get_functional_records: Retrieve functional examination records including urinalysis, stool examination, pulmonary function, immunology, physical examination, ultrasound, electrocardiogram, etc.
get_device_data: Retrieve device-generated health data including sleep, heart rate, blood pressure, blood oxygen, exercise, steps, etc.
get_user_health_profile: Retrieve user health profile information including basic demographics, health status overview, and health data type statistics.
get_all_indicators: Retrieve all available medical, functional and device indicators list with data volume and available time periods.
Resources
Model Context Protocol: Learn more about MCP and its capabilities.
License
This project is licensed under MIT. See the LICENSE file for details.