Langcare Fhir MCP server

LangCare MCP FHIR Server

Enterprise-grade MCP Server for FHIR-based EMRs. Fully written in Go with enterprise-grade security and 4 generic FHIR operations that work with any FHIR R4 resource type. Supports EPIC, Cerner, OpenEMR, GCP Healthcare API, and any generic FHIR R4 server.

Ships with a 40+ Clinical Skills Library — agent-agnostic workflow guides covering medication management, lab interpretation, clinical decision support, documentation, population health, and more. Extend with ✨ New: Claude Managed Agents (9 production-ready clinical AI agents on the Anthropic Managed Agents API), MCP Apps (interactive clinical UIs inside Claude Desktop), a Healthcare Voice Agent (real-time voice AI over FHIR), and a LangCare CLI for agent frameworks that don't speak MCP natively.

langcare.ai

Installation

Install via npm:

npm install -g @langcare/langcare-mcp-fhir

Or use directly without installation:

npx @langcare/langcare-mcp-fhir -config /path/to/config.yaml

Quick Configuration

LangCare MCP FHIR connects Claude to your FHIR-based EMR system. You need a YAML configuration file pointing to your backend.

1. Get a Config Template

Choose your backend:

• EPIC: config.epic.example.yaml
• Cerner: config.cerner.example.yaml
• OpenEMR: config.openemr.example.yaml
• GCP Healthcare API: config.gcp.example.yaml
• Any FHIR R4 Server: config.base.example.yaml

2. Configure Claude Desktop

Add to your Claude Desktop config file (~/.config/Claude/claudedesktopconfig.json):

{
  "mcpServers": {
    "langcare-mcp-fhir": {
      "command": "langcare-mcp-fhir",
      "args": ["-config", "/path/to/your/config.yaml"]
    }
  }
}

On macOS, the config is typically at:

~/Library/Application\ Support/Claude/claude_desktop_config.json

3. Restart Claude Desktop

Close and reopen Claude Desktop. The FHIR tools will now be available.

Need detailed setup help? See the Local Testing Guide.

Architecture

This MCP server acts as an intelligent proxy between AI agents and FHIR R4 servers. It exposes 4 generic FHIR operations through the Model Context Protocol (MCP), enabling AI-powered workflows for any FHIR resource type.

Shortened. The full README is on GitHub.