How to Use the ClinicalTrials.gov MCP in AutoGen

Give your AutoGen multi-agent systems direct access to clinical trial registries to debate study protocols and enrollment criteria.

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Connect ClinicalTrials.gov MCP to AutoGen

Create your Vinkius account to connect ClinicalTrials.gov 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 ClinicalTrials.gov with AutoGen

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Perplexity

Agents debate trial parameters

Medical research evaluation rarely has a single right answer. One agent can use `search_clinical_trials` to pull studies for a specific drug, while a critic agent reviews the phase and sponsor details. They argue over the relevance of the findings. The MCP integration feeds them actual structured registry data instead of letting them guess about experimental therapies.

Cross-reference NCT records in AutoGen

When the conversation shifts to a specific study, accuracy matters. Any agent in the chat can trigger `get_trial_details` to pull the exact protocol using the NCT identifier. A compliance agent might check the primary endpoints, while a medical agent evaluates the inclusion criteria. They reach a consensus based on the hard facts provided by the tool.

Automate enrollment searches via MCP Server

Finding active participant slots is tedious work for a human. You can assign a dedicated researcher agent the `find_recruiting_trials` tool to hunt down open studies for specific conditions. The agent filters out closed or completed studies automatically. It brings only the actively recruiting options back to the group chat for further deliberation.

Setup guide

Set up ClinicalTrials.gov 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 ClinicalTrials.gov 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="ClinicalTrials.gov_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ClinicalTrials.gov 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="ClinicalTrials.gov_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ClinicalTrials.gov 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 ClinicalTrials.gov. 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 ClinicalTrials.gov MCP in AutoGen

Install the autogen-ext package with MCP support. Configure mcp_server_tools with your Vinkius HTTP endpoint and pass the resulting list to your AssistantAgent constructor.

You define which agents get which tools. You might give the search tool to a researcher agent and the detail-fetching tool to a reviewer agent.

The McpToolAdapter handles all schema conversions automatically. Your agents see native function definitions and know exactly what parameters to provide.

The search tool includes built-in filters for both phase and recruitment status. Your agents can easily limit their queries to actively recruiting Phase 3 trials.

Any medical conditions or trial identifiers your agents discuss are routed through an isolated V8 sandbox on Vinkius. The server handles the authentication and instantly destroys the execution environment once the registry responds.

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