ClinicalTrials.gov MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ClinicalTrials.gov through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ClinicalTrials.gov, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every ClinicalTrials.gov tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the ClinicalTrials.gov MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 3 tools from ClinicalTrials.gov and passes them to the LLM
Why Use Vercel AI SDK with the ClinicalTrials.gov MCP Server
Vercel AI SDK provides unique advantages when paired with ClinicalTrials.gov through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same ClinicalTrials.gov integration everywhere
Built-in streaming UI primitives let you display ClinicalTrials.gov tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ClinicalTrials.gov + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ClinicalTrials.gov MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ClinicalTrials.gov in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ClinicalTrials.gov tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ClinicalTrials.gov capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ClinicalTrials.gov through natural language queries
ClinicalTrials.gov MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect ClinicalTrials.gov to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting ClinicalTrials.gov to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClinicalTrials.gov + Vercel AI SDK FAQ
Common questions about integrating ClinicalTrials.gov MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.