ClinicalTrials.gov MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ClinicalTrials.gov through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"clinicaltrialsgov": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ClinicalTrials.gov Agent",
instructions:
"You help users interact with ClinicalTrials.gov " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ClinicalTrials.gov?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and ClinicalTrials.gov tool infrastructure. Connect 3 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the ClinicalTrials.gov MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from ClinicalTrials.gov via MCP
Why Use Mastra AI with the ClinicalTrials.gov MCP Server
Mastra AI provides unique advantages when paired with ClinicalTrials.gov through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add ClinicalTrials.gov without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ClinicalTrials.gov tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
ClinicalTrials.gov + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ClinicalTrials.gov MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ClinicalTrials.gov, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ClinicalTrials.gov as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ClinicalTrials.gov on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ClinicalTrials.gov tools alongside other MCP servers
ClinicalTrials.gov MCP Tools for Mastra AI (3)
These 3 tools become available when you connect ClinicalTrials.gov to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting ClinicalTrials.gov to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpClinicalTrials.gov + Mastra AI FAQ
Common questions about integrating ClinicalTrials.gov MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect ClinicalTrials.gov with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.