How to Use the Epic Fhir MCP in AutoGen

Q: How do I register Epic Fhir tools with an AutoGen agent?

Install autogen-extmcp and use mcpservertools with your MCP connection parameters. Pass the resulting tool list directly to your AssistantAgent constructor to enable endpoints like getpatient.

Q: Can AutoGen agents collaborate to analyze Epic Fhir data?

Yes, you can assign one agent to pull records using listconditions and another to analyze them. They pass the structured FHIR payloads back and forth to reach a consensus.

Q: How does the server handle the security of patient records and medication lists?

Security is enforced by routing all requests for listmedications and listallergies through single-use, zero-trust V8 isolates. Your authentication tokens are handled securely at the proxy layer, meaning no patient health information is exposed to external logging systems.

Run multi-agent clinical debates in AutoGen powered by real-time Epic Fhir data.

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Connect Epic Fhir MCP to AutoGen

Create your Vinkius account to connect Epic Fhir to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Epic Fhir with AutoGen

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Run multi-agent clinical consensus loops

This MCP Server provides tools like `list_medications` and `list_allergies` to fuel collaborative multi-agent discussions. You set up one AutoGen agent to fetch active prescriptions and another to cross-reference them against documented allergies. The agents debate potential drug interactions in a structured conversation before presenting a final summary. This collaborative process catches discrepancies that a single agent might overlook.

Connect the Epic MCP Server to AutoGen agents

Configuring tools like `list_encounters` and `list_appointments` using the `mcp_server_tools` adapter lets you expose clinical endpoints directly to your `AssistantAgent`. The adapter handles the schema conversion behind the scenes, mapping Epic's FHIR resources to the format AutoGen expects. You pass the tools list directly into the agent constructor. This setup lets your agents call these endpoints naturally during their multi-turn planning phases.

Track clinical events across timelines

Fetching records with `list_immunizations` and `list_diagnostic_reports` gives your agents a structured timeline of a patient's preventive care. A dedicated analyst agent can process this history to identify missing vaccinations or overdue screenings. The framework coordinates these checks by passing the structured JSON outputs between specialized agents. You write simple Python scripts to orchestrate these multi-agent workflows without complex state management.

Setup guide

Set up Epic Fhir MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Epic Fhir tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Epic Fhir_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Epic Fhir data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Epic Fhir_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Epic Fhir data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Epic Fhir. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Epic Fhir MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your MCP connection parameters. Pass the resulting tool list directly to your `AssistantAgent` constructor to enable endpoints like `get_patient`.

Yes, you can assign one agent to pull records using `list_conditions` and another to analyze them. They pass the structured FHIR payloads back and forth to reach a consensus.

The MCP tool adapter automatically translates FHIR tool schemas into the format required by AutoGen. This ensures tools like `list_diagnostic_reports` are called with correctly typed parameters.

The integration supports both stdio and Streamable HTTP transports. You configure this using `StreamableHttpServerParams` to maintain a persistent connection to the managed API endpoint.

Security is enforced by routing all requests for `list_medications` and `list_allergies` through single-use, zero-trust V8 isolates. Your authentication tokens are handled securely at the proxy layer, meaning no patient health information is exposed to external logging systems.

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