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HealthChain MCP Server

by Kunwgh
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Python
Hybrid

HealthChain – Healthcare AI Agent

HealthChain is a Python-based healthcare AI framework that enables AI agents to work with FHIR/EHR data using validated and structured healthcare tools.

It combines LLMs, AI agents, FHIR, MCP, and LangChain to build healthcare applications that can securely access, process, and work with clinical data.

🚀 Features

  • 🤖 AI Agents – Build LLM-powered healthcare agents

  • 🏥 FHIR Support – Work with structured healthcare resources

  • 🔌 EHR Integration – Connect with FHIR-compatible healthcare systems

  • 🛠️ Agent Tools – Provide validated FHIR tools to AI agents

  • 🔗 MCP Support – Expose healthcare tools through Model Context Protocol

  • 🦜 LangChain Integration – Use FHIR tools with LangChain agents

  • ✅ FHIR Validation – Validate healthcare data before processing

  • ⚡ FastAPI Support – Build and expose healthcare AI APIs

Related MCP server: FhirMCP

🛠️ Tech Stack

  • Python

  • LangChain

  • MCP (Model Context Protocol)

  • FHIR / EHR

  • FastAPI

  • LLMs / Generative AI

  • Docker

📦 Installation

pip install healthchain

⚡ Quick Start

Create a new FHIR Gateway project:

healthchain new my-app -t fhir-gateway
cd my-app
healthchain serve

🤖 Using FHIR Tools with an AI Agent

from healthchain.tools import FHIRToolkit

kit = FHIRToolkit(bundle="patient_bundle.json")

# Use with MCP
kit.as_mcp().run()

# Use with LangChain
tools = kit.as_langchain()

You can also start the MCP server directly:

healthchain mcp --bundle patient_bundle.json

🏥 Example Use Cases

  • Healthcare AI assistants

  • Patient Q&A systems

  • Clinical data analysis

  • EHR-integrated AI agents

  • FHIR data processing

  • Healthcare automation

  • AI-powered clinical workflows

📚 Documentation

HealthChain Documentation

🤝 Contributing

Contributions, ideas, and improvements are welcome. Feel free to open an issue or submit a pull request.

📄 License

This project is open source. See the LICENSE file for details.

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