How to Use the Exa MCP in Vercel AI SDK

Get live web research directly in your Vercel AI SDK interface. Stop waiting for spinners and stream data straight to your users.

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Connect Exa MCP to Vercel AI SDK

Create your Vinkius account to connect Exa 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 Exa with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream semantic search results

Feed your UI with `search_neural` results as they arrive. Your users see the data populate in real-time, making the experience feel immediate. By hooking this MCP Server into `streamText`, you bypass the typical wait times of legacy search. It's just raw data hitting your frontend components instantly.

Extract page contents on the fly

Trigger `get_contents` to pull clean text from any URL identified during your search. Your application handles the raw string data without extra middleware. This keeps your Edge Functions lean. You get exactly the information needed for your prompt context without bloating your request payload.

Targeted domain lookups

Use `search_domain` to restrict your research to specific documentation sites or trusted sources. You maintain control over where the AI gathers information. This prevents the model from wandering into irrelevant territory. Your research pipeline stays focused on the data that actually matters to your product.

Setup guide

Set up Exa 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 Exa 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 Exa 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 Exa. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

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Common questions about Exa MCP in Vercel AI SDK

Register the server via your transport configuration. Once initialized, pass the available tools into your `streamText` function call to start querying.

Yes. The server streams results directly into your SDK's pipeline, which works perfectly with React state updates.

It does. Since it's built for the SDK, you get full type safety for every tool result returned by the server.

Data flows directly into your defined tool handlers. You decide whether to render it in a component or pass it to another model.

Your queries and the retrieved web content stay within your session flow. The server only touches the text content it fetches from the URLs you request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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