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CData FHIR

CDataSoftwarebyCDataSoftware
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Database Management
Developer Tools
API Development

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.

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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

010 GitHub stars
02Enables natural language querying of FHIR data without direct SQL
03Connects LLMs (e.g., Claude Desktop) to live FHIR data
04Configurable connection properties via `.prp` files
05Provides a read-only Model Context Protocol (MCP) interface
06Exposes FHIR data as relational SQL models via JDBC driver

Use Cases

01Integrating FHIR data systems into Model Context Protocol (MCP) environments for AI interaction.
02Empowering LLMs to retrieve real-time FHIR information through natural language questions.
03Developing AI applications that require direct access to FHIR data sources.