What is Modelcontextprotocolfhir

ModelContextProtocolFHIR is a server that provides a Model Context Protocol (MCP) interface for interacting with FHIR (Fast Healthcare Interoperability Resources) servers, enabling standardized access to healthcare data.

Use cases

Use cases include retrieving patient records, searching for specific healthcare resources, integrating FHIR data into applications, and analyzing healthcare data across different systems.

How to use

To use ModelContextProtocolFHIR, connect to any FHIR API server, perform read operations to retrieve FHIR resources, and utilize flexible query parameters for searching resources. The server also allows viewing of FHIR server metadata and capabilities.

Key features

Key features include the ability to connect to any FHIR API server, retrieve FHIR resources through read operations, search with flexible query parameters, view server metadata, and comprehensive error handling and logging.

Where to use

ModelContextProtocolFHIR can be used in healthcare applications, research environments, and any system that requires interaction with FHIR servers for healthcare data management.

This server provides a Model Context Protocol (MCP) interface to interact with FHIR servers.

Overview
The MCP server enables standardized interaction with FHIR (Fast Healthcare Interoperability Resources) servers, providing a unified interface for retrieving and working with healthcare data.

Key Features
Connect to any FHIR API server
Retrieve FHIR resources with read operations
Search FHIR resources with flexible query parameters
View FHIR server metadata and capabilities
Comprehensive error handling and logging

version.01

🧠 FHIR Model Context Protocol (MCP) App

FHIR MCP App is a developer tool and service that implements the Model Context Protocol (MCP) for FHIR. It enables applications, agents, and services to introspect, understand, and utilize healthcare data by querying and resolving its structure, usage context, and intent — with full support for HL7 FHIR profiles and implementation guides.

Think of it as the FHIR-aware schema registry + documentation engine + semantic resolver all in one.

📌 What is MCP?

Model Context Protocol (MCP) is a proposed standard for:

• Describing the context and constraints of a data model (FHIR or otherwise)
• Providing machine-readable metadata about field usage, provenance, rules, relationships, and validation
• Enabling AI agents, developer tools, or integration services to dynamically understand how to use data models without prior hardcoding

🔗 Learn more about MCP

🧰 What This App Does

⚙️ How It Works

1. Load a FHIR Implementation Guide via Simplifier, local upload, or URL

2. Select a Profile (e.g., USCorePatient)

3. MCP Resolver compiles context:

   • Field definitions
   • Value sets & bindings
   • Cardinality, constraints, invariants
   • Provenance & usage notes
   • Real-world usage tips

4. Expose via REST API or generate context prompt for agents

📦 Installation

Prerequisites

• Node.js 18+ or Docker
• Local FHIR IGs or registry access

Clone & Run

git clone https://github.com/your-org/fhir-mcp-app.git
cd fhir-mcp-app
npm install
npm run dev

or with Docker:

docker build -t fhir-mcp-app .
docker run -p 3000:3000 fhir-mcp-app

🌐 Example Output (MCP JSON)

{
  "profile": "USCorePatient",
  "fields": [
    {
      "path": "Patient.birthDate",
      "type": "date",
      "description": "The date of birth for the individual",
      "cardinality": "0..1",
      "binding": {
        "strength": "required",
        "valueSet": "http://hl7.org/fhir/ValueSet/us-core-race"
      },
      "usageNotes": "Used for demographics-based risk adjustment"
    }
  ],
  "version": "6.1.0"
}

🧠 Use Cases

• 🧩 Prompt context generation for LLMs (agent-augmented development)
• 🧪 Validation and explainability of field behavior
• 🛠 Tooling support for profile-driven UI or data ingestion engines
• 🧬 Semantic mapping and FHIR model alignment

🔭 Roadmap

• [ ] SmartGPT + Claude integration via plugins
• [ ] Embed profile diffs and example data
• [ ] Support for multiple FHIR versions
• [ ] Model Context comparison view
• [ ] Bulk MCP generation + ZIP export for IGs

🤝 Contributing

Open issues, submit pull requests, or propose improvements! This project thrives on community feedback from FHIR, health AI, and dev tool builders.

👤 Maintainer

Built by FHIR IQ / Eugene Vestel
🌐 https://www.fhiriq.com
🧠 FHIR Goats LinkedIn Group

📜 License

Apache 2.0 — open-source and agent-friendly.