How to Use the ClinicalTrials.gov MCP in OpenAI Agents SDK

Query the ClinicalTrials.gov registry directly within your OpenAI Agents SDK production system.

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Connect ClinicalTrials.gov MCP to OpenAI Agents SDK

Create your Vinkius account to connect ClinicalTrials.gov to OpenAI Agents SDK 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 OpenAI Agents SDK

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Find active trials via OpenAI Agents SDK

Use `find_recruiting_trials` to pull real-time enrollment data into your agent logic. It scans the registry for studies currently accepting patients so your code stays current. Your agent parses these results to filter by condition or status. The SDK automatically validates these inputs before your agent attempts any further logic.

Get granular trial data in your workflow

The `get_trial_details` tool fetches the full record for any specific NCT identifier. You get the raw data inside your Python environment for immediate processing. This MCP Server provides the exact schema your agent needs for downstream analysis. You avoid manual lookups and keep your agent's decision-making loop inside the codebase.

Search the registry with custom parameters

Trigger `search_clinical_trials` to query by drug name, sponsor, or keyword. It acts as your primary interface to the massive ClinicalTrials.gov database. Your agent handles the filtering logic, and this tool returns the matching registry entries. It handles the connection between your agent's query and the external research database.

Setup guide

Set up ClinicalTrials.gov MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ClinicalTrials.gov tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ClinicalTrials.gov tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ClinicalTrials.gov tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ClinicalTrials.gov Agent",
            instructions="You have access to ClinicalTrials.gov tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

You instantiate the server via MCPServerStreamableHttp and pass it to your agent constructor. Once connected, your agent calls the tools directly.

Yes, the tools return structured data that the SDK maps to your agent's context. You get clean payloads for every search.

You pass the specific condition or phase as arguments to the `search_clinical_trials` tool. The agent then processes the filtered response.

Set cacheToolsList=True in your server configuration. This reduces latency by keeping your tool definitions ready for the agent.

Your agent only touches public trial records. We use ephemeral, isolated environments so no clinical data persists on our infrastructure.

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