Do I need an API Key or registration?

No. ClinicalTrials.gov is a fully public service maintained by the US National Library of Medicine. All data is accessible without any authentication.

What types of studies can I search for?

The database covers interventional trials (testing drugs, devices, procedures), observational studies, and expanded access programs. You can search across all phases, from early Phase 1 research to post-market Phase 4 surveillance.

Is the trial recruiting status updated in real time?

The data reflects what is currently published on the ClinicalTrials.gov database. Sponsors typically update the registry directly, so you will see the latest status logged in their system.

ClinicalTrials.gov MCP Server for Pydantic AI 3 tools — connect in under 2 minutes

Name: ClinicalTrials.gov
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ClinicalTrials.gov through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ClinicalTrials.gov "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ClinicalTrials.gov?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every ClinicalTrials.gov tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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.

Zero authentication required. Fully open public data maintained by the National Library of Medicine. Critical for pharmaceutical researchers, healthcare professionals, patient advocates, and biotech analysts.

The ClinicalTrials.gov MCP Server exposes 3 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the ClinicalTrials.gov MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from ClinicalTrials.gov with type-safe schemas

Why Use Pydantic AI with the ClinicalTrials.gov MCP Server

Pydantic AI provides unique advantages when paired with ClinicalTrials.gov through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your ClinicalTrials.gov integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ClinicalTrials.gov connection logic from agent behavior for testable, maintainable code

ClinicalTrials.gov + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ClinicalTrials.gov MCP Server delivers measurable value.

Type-safe data pipelines: query ClinicalTrials.gov with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ClinicalTrials.gov tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ClinicalTrials.gov and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ClinicalTrials.gov responses and write comprehensive agent tests

ClinicalTrials.gov MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect ClinicalTrials.gov to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting ClinicalTrials.gov to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ClinicalTrials.gov + Pydantic AI FAQ

Common questions about integrating ClinicalTrials.gov MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your ClinicalTrials.gov MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.