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FHIR

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86
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API Development
Database Management
Data Science & ML

Enables natural language querying and manipulation of FHIR healthcare data through LLM-based agents.

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The FHIR server implements a complete Model Context Protocol (MCP) server, providing a standardized interface for LLM-based agents to seamlessly interact with FHIR-compliant backends. It supports full Create, Read, Update, and Delete (CRUD) operations on all major FHIR resources, allowing users to manage clinical data using natural-language prompts via MCP-compatible clients like Claude Desktop. Key capabilities include high-performance server functionality built on FastMCP, AI-powered document ingestion and chunking for various formats, advanced semantic search using vector embeddings for Retrieval-Augmented Generation (RAG), and secure OAuth2 authentication for FHIR API integration, alongside LOINC terminology lookup.

Key Features

0118 GitHub stars
02High-performance MCP server capabilities with FastMCP
03Advanced semantic search using vector embeddings for RAG
04Secure OAuth2 token management for FHIR API integration
05AI-powered document ingestion and chunking for multiple formats
06Full CRUD operations for all major FHIR resources

Use Cases

01Querying and manipulating clinical data using natural-language prompts via LLM agents
02Generating and deploying synthetic FHIR data for testing and validation purposes
03Analyzing patient lab history by searching for specific medical observations and biomarkers