Theta Health
Standardizes the connection between Large Language Models and personal health data, enabling AI assistants to access and interact with health records.
About
Theta Health serves as a crucial bridge, implementing the Model Context Protocol (MCP) to seamlessly connect AI assistants with your personal health data. It empowers Large Language Models (LLMs) like Cursor, Claude, and Windsurf to directly interact with your Theta Health project, allowing them to manage health-related data, fetch configurations, and query various types of health records. This integration facilitates the use of AI for personalized health insights, data management, and comprehensive record retrieval.
Key Features
- Get user health profile information including basic demographics, health status overview, and data type statistics.
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- Fetch device-generated health data including sleep, heart rate, blood pressure, and exercise.
- Obtain a comprehensive list of all available medical, functional, and device indicators with data volume and time periods.
- Access functional examination records such as urinalysis, physical examination, and ultrasound.
- Retrieve medical records including blood tests, laboratory results, and clinical measurements.
Use Cases
- Enabling AI assistants to query personal medical and health device data.
- Providing LLMs with access to a user's comprehensive health profile for personalized insights.
- Automating the retrieval of various health records for analysis by AI models.
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