ClinicalTrials.gov MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ClinicalTrials.gov through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ClinicalTrials.gov Assistant",
instructions=(
"You help users interact with ClinicalTrials.gov. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ClinicalTrials.gov"
)
print(result.final_output)
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 ClinicalTrials.gov MCP Server
The ClinicalTrials.gov MCP Server connects your AI agent to the United States National Institutes of Health (NIH) clinical research database — the gold standard for clinical trial transparency worldwide.
The OpenAI Agents SDK auto-discovers all 3 tools from ClinicalTrials.gov through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries ClinicalTrials.gov, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
Core Capabilities
- Universal Trial Search — Query over 500,000 registered studies by condition, drug name, sponsor, or any keyword. Filter by recruitment status and trial phase to pinpoint exactly what matters.
- Deep Trial Profiles — Retrieve full study protocols including eligibility criteria, enrollment targets, intervention details, and sponsor information for any registered trial.
- Active Recruitment Finder — Dedicated tool for patients and clinicians to discover trials actively enrolling participants right now, searchable by medical condition.
The ClinicalTrials.gov MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 ClinicalTrials.gov to OpenAI Agents SDK via MCP
Follow these steps to integrate the ClinicalTrials.gov MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from ClinicalTrials.gov
Why Use OpenAI Agents SDK with the ClinicalTrials.gov MCP Server
OpenAI Agents SDK provides unique advantages when paired with ClinicalTrials.gov through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ClinicalTrials.gov + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ClinicalTrials.gov MCP Server delivers measurable value.
Automated workflows: build agents that query ClinicalTrials.gov, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries ClinicalTrials.gov, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ClinicalTrials.gov tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ClinicalTrials.gov to resolve tickets, look up records, and update statuses without human intervention
ClinicalTrials.gov MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect ClinicalTrials.gov to OpenAI Agents SDK via MCP:
find_recruiting_trials
Useful for patients and healthcare providers looking for active enrollment opportunities. Find clinical trials that are actively recruiting participants for a specific medical condition
get_trial_details
Retrieve full details of a specific clinical trial by its NCT identifier
search_clinical_trials
Can filter by recruitment status and trial phase. Search the ClinicalTrials.gov database for studies by keyword, condition, drug name, or sponsor
Example Prompts for ClinicalTrials.gov in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ClinicalTrials.gov immediately.
"Are there any clinical trials recruiting participants for Alzheimer's disease right now?"
"Show me Phase 3 trials related to breast cancer treatment."
"Get me the full details for trial NCT04280705."
Troubleshooting ClinicalTrials.gov MCP Server with OpenAI Agents SDK
Common issues when connecting ClinicalTrials.gov to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ClinicalTrials.gov + OpenAI Agents SDK FAQ
Common questions about integrating ClinicalTrials.gov MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ClinicalTrials.gov with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 ClinicalTrials.gov to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
