MCP for Healthcare AI Agents

Why EHR integration is hard for AI

Modern healthcare AI requires real-time access to patient data, appointment scheduling, and secure messaging. Building custom OAuth flows and tool definitions for Epic, Cerner, and other APIs from scratch creates massive security overhead. AI agents need standardized tools they can invoke securely without custom hardcoded logic for every provider.

How to expose FHIR APIs to MCP

# Example: Connecting a healthcare AI agent to FHIR APIs via wmcp.sh
import anthropic
import httpx

client = anthropic.Anthropic(api_key="your-api-key")
# Retrieve dynamically generated MCP tools for your EHR system
response = httpx.get(
    "https://wmcp.sh/api/v1/tools?url=https://fhir.epic.com/interconnect-fhir-oauth/api/FHIR/R4",
    headers={"Authorization": "Bearer YOUR_ENCRYPTED_CREDENTIALS"}
)
fhir_tools = response.json()

completion = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    tools=fhir_tools,
    messages=[{"role": "user", "content": "Find Dr. Sample's next available appointment."}]
)
print(completion.content)

Healthcare Agent Integration Checklist

Common questions.