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 LlamaIndex 3 tools — connect in under 2 minutes

Name: ClinicalTrials.gov
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ClinicalTrials.gov as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ClinicalTrials.gov. "
            "You have 3 tools available."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LlamaIndex agents combine ClinicalTrials.gov tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the ClinicalTrials.gov MCP Server

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

Data-first architecture: LlamaIndex agents combine ClinicalTrials.gov tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ClinicalTrials.gov tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ClinicalTrials.gov, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ClinicalTrials.gov tools were called, what data was returned, and how it influenced the final answer

ClinicalTrials.gov + LlamaIndex Use Cases

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

Hybrid search: combine ClinicalTrials.gov real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ClinicalTrials.gov to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ClinicalTrials.gov for fresh data

Analytical workflows: chain ClinicalTrials.gov queries with LlamaIndex's data connectors to build multi-source analytical reports

ClinicalTrials.gov MCP Tools for LlamaIndex (3)

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

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ClinicalTrials.gov + LlamaIndex FAQ

Common questions about integrating ClinicalTrials.gov MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ClinicalTrials.gov tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.