CData FHIR
Enables Large Language Models (LLMs) to query live FHIR data by exposing it as relational SQL models through a simple Model Context Protocol (MCP) interface.
About
This CData Model Context Protocol (MCP) Server provides a bridge for Large Language Models (LLMs) like Claude Desktop to interact with live FHIR data. It leverages the CData JDBC Driver for FHIR to expose FHIR data as standard relational SQL models, allowing LLMs to retrieve information by asking natural language questions without needing to write SQL. While this specific open-source project offers read-only capabilities, it serves as a foundation for integrating FHIR data into AI-powered applications, demonstrating how CData's technology facilitates real-time data access for conversational AI.
Key Features
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- Enables natural language querying of FHIR data without direct SQL
- Connects LLMs (e.g., Claude Desktop) to live FHIR data
- Configurable connection properties via `.prp` files
- Provides a read-only Model Context Protocol (MCP) interface
- Exposes FHIR data as relational SQL models via JDBC driver
Use Cases
- Integrating FHIR data systems into Model Context Protocol (MCP) environments for AI interaction.
- Empowering LLMs to retrieve real-time FHIR information through natural language questions.
- Developing AI applications that require direct access to FHIR data sources.
