Epic Fhir MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Epic Fhir through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"epic-fhir": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Epic Fhir, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Epic Fhir MCP Server
Connect Epic electronic health records to any AI agent and query clinical data through natural conversation instead of navigating complex EHR interfaces.
LangChain's ecosystem of 500+ components combines seamlessly with Epic Fhir through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Patient Search — Find patients by name, date of birth, or medical record number across your Epic system
- Clinical Encounters — Review admissions, ER visits, and outpatient appointments with dates, reasons, and locations
- Lab Results & Vitals — Pull observations including blood work, vital signs, and social history with reference ranges
- Diagnoses & Conditions — List active and resolved conditions with ICD-10 codes, onset dates, and severity
- Medications & Allergies — View current prescriptions, dosage instructions, and documented allergic reactions
- Appointments & Immunizations — Check upcoming schedules and full vaccination history with lot numbers
The Epic Fhir MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Epic Fhir to LangChain via MCP
Follow these steps to integrate the Epic Fhir MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Epic Fhir via MCP
Why Use LangChain with the Epic Fhir MCP Server
LangChain provides unique advantages when paired with Epic Fhir through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Epic Fhir MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Epic Fhir queries for multi-turn workflows
Epic Fhir + LangChain Use Cases
Practical scenarios where LangChain combined with the Epic Fhir MCP Server delivers measurable value.
RAG with live data: combine Epic Fhir tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Epic Fhir, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Epic Fhir tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Epic Fhir tool call, measure latency, and optimize your agent's performance
Epic Fhir MCP Tools for LangChain (10)
These 10 tools become available when you connect Epic Fhir to LangChain via MCP:
get_patient
Returns name, DOB, gender, race, ethnicity, address, phone, email, and all identifiers. Get patient details by ID
list_allergies
Includes substance, reaction type, severity, and clinical status. List allergies and intolerances
list_appointments
Includes date/time, provider, location, and status. List patient appointments
list_conditions
Includes ICD-10 codes, clinical status, verification status, onset date, and severity. List diagnoses and conditions
list_diagnostic_reports
Includes report type, results, conclusion, and performing organization. List diagnostic reports
list_encounters
Includes encounter type, period, reason, and location. List patient encounters/visits
list_immunizations
Includes vaccine type (CVX code), administration date, dose, site, and lot number. List immunizations
list_medications
Includes medication name, dosage, frequency, route, prescriber, and status. List medication requests
list_observations
Filter by category: vital-signs, laboratory, social-history. Includes values, units, reference ranges, and interpretation. List clinical observations
search_patients
Returns patient demographics including name, DOB, gender, address, and identifiers. Search patients by name, DOB, or MRN
Example Prompts for Epic Fhir in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Epic Fhir immediately.
"Find all patients named Smith born in 1985."
"Show me the latest lab results for patient e63wACU8F."
"List all active medications for this patient."
Troubleshooting Epic Fhir MCP Server with LangChain
Common issues when connecting Epic Fhir to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEpic Fhir + LangChain FAQ
Common questions about integrating Epic Fhir MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Epic Fhir with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Epic Fhir to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.