How to Use the Health Gorilla MCP in AutoGen

Q: How do I load Health Gorilla tools into AutoGen?

Use mcpservertools with StreamableHttpServerParams pointing to your endpoint. Pass the resulting tools list directly into your AssistantAgent constructor.

Q: Can AutoGen agents search for specific lab tests in Health Gorilla?

Yes. An agent calls searchlabtests to find LOINC codes or check turnaround times. It can then share those details with other agents in the chat to confirm the right test selection.

Q: Can an AutoGen agent find local specialists?

The agent executes searchproviders with location and specialty filters. It retrieves the NPI numbers and contact info, then hands that data to a referral agent to process.

Deploy clinical agent teams. Connect the Health Gorilla MCP server to AutoGen to let specialized AI agents debate and manage lab orders.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Health Gorilla MCP to AutoGen

Create your Vinkius account to connect Health Gorilla 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.

GDPR Free for Subscribers

Setup Health Gorilla with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent Lab Order Debates

The `submit_lab_order` tool requires perfect accuracy before execution. In AutoGen, you build a prescribing agent that drafts the order and a compliance agent that reviews it. They debate the selected ICD-10 codes and clinical indications before anyone touches the API. If the compliance agent spots a missing demographic field, it forces the prescribing agent to call `get_patient_demographics`. They negotiate the exact payload. Once both agents agree the data is complete, the system finally pushes the order to the performing laboratory.

Resolve Identity Conflicts Automatically

The `match_patient` tool often returns multiple potential matches with varying confidence scores. Your AutoGen setup assigns an identity resolution agent to analyze these scores. If the match is ambiguous, it argues with a secondary verification agent about whether to proceed or halt. When the agents conclude no valid match exists, they pivot. They agree to execute `create_patient_record` instead, mapping the first name, DOB, and gender into a new profile. This multi-perspective check prevents duplicate medical records from polluting the system.

Clinical Review via Health Gorilla MCP Server

The `get_lab_results` tool feeds raw diagnostic data to a panel of specialized agents. A hematology agent reviews the CBC values while a general practice agent looks at the overall metabolic panel. They discuss the critical value notifications and form a consensus on what the results mean. You can expand this team to monitor ongoing work. A tracking agent runs `get_order_status` periodically. When it sees an order shift from testing to completed, it alerts the review agents to start their analysis. The system manages the entire diagnostic lifecycle through conversation.

Setup guide

Set up Health Gorilla 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 Health Gorilla 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="Health Gorilla_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Health Gorilla 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="Health Gorilla_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Health Gorilla 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 Health Gorilla. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Health Gorilla now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Health Gorilla MCP in AutoGen

Use mcp_server_tools with StreamableHttpServerParams pointing to your endpoint. Pass the resulting tools list directly into your AssistantAgent constructor.

Yes. An agent calls `search_lab_tests` to find LOINC codes or check turnaround times. It can then share those details with other agents in the chat to confirm the right test selection.

One agent proposes the cancellation and drafts the audit reason. A supervisor agent reviews the logic, and if approved, triggers `cancel_lab_order` to stop the pending test.

The agent executes `search_providers` with location and specialty filters. It retrieves the NPI numbers and contact info, then hands that data to a referral agent to process.

Agents process live MRNs, provider credentials, and raw test values during their chat sessions. AutoGen retains this conversation history by default, so you must implement strict log redaction to keep PHI out of your permanent storage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript