How to Use the Harvard ClinicalTrials MCP in Vercel AI SDK

Stream real-time clinical trial data directly into your Vercel AI SDK interface without the usual loading delays.

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Connect Harvard ClinicalTrials MCP to Vercel AI SDK

Create your Vinkius account to connect Harvard ClinicalTrials to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Harvard ClinicalTrials with Vercel AI SDK

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Live trial lookups for Vercel AI SDK

Feed trial data directly to your frontend components. When your app calls `get_study` via the SDK, the results hit the UI as they arrive. Stop waiting for batch processing. Your users see the trial title, phase, and status the moment the server returns the payload.

Automated clinical search filtering

Pipe user queries straight into the Harvard ClinicalTrials server. Use `search_by_condition` or `search_by_intervention` to narrow down the 400,000+ studies instantly. Your app handles the logic while the MCP server manages the heavy lifting of the ClinicalTrials.gov API. It turns complex database queries into simple UI interactions.

Real-time study status tracking

Keep your dashboard current with `get_study_timeline` and `get_api_version`. You'll know exactly when data was last updated at the source. This ensures your Vercel AI SDK implementation only displays fresh, accurate clinical information. No stale records, no manual refreshes.

Setup guide

Set up Harvard ClinicalTrials MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Harvard ClinicalTrials tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Harvard ClinicalTrials transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClinicalTrials.gov. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Harvard ClinicalTrials MCP in Vercel AI SDK

Pass the tool definitions from the MCP server directly into your generateText call. Use `search_by_condition` to define your filter criteria based on user input.

The server connects via standard HTTP transport. For high-frequency needs, keep your calls focused on specific NCT IDs using `get_study` to stay within rate limits.

Yes. Since the SDK supports streaming text and tool calls, the data flows to your UI as soon as the server provides the response.

The server pulls directly from the official ClinicalTrials.gov v2 API. It aggregates over 400,000 global studies into a format your agent can read.

The server only touches public clinical trial records. No patient-level or protected health information is ever processed or stored through this connection.

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