How to Use the Exa MCP in Vercel AI SDK

Stream semantic web results directly into your Vercel AI SDK interface for live, real-time context without the wait.

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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

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Live semantic data in your UI

Your Vercel AI SDK frontends benefit from clean, LLM-ready text streamed directly from the web. By using `exa_search`, you bypass messy HTML parsing and feed the model structured, relevant chunks immediately. Users watching your app see data populate in real-time as the agent iterates. This removes the need for clunky loading spinners while waiting for long-running search tasks to complete.

Targeted content extraction

When you have specific links, `exa_get_contents` pulls only the meaningful text your model actually needs. You control the context window by filtering out site noise before it hits your generation stream. This keeps your token usage predictable and your responses faster. It’s the difference between a sluggish interface and a snappy, responsive application.

Smart discovery for your agents

Finding related documentation or source material happens automatically when you trigger `exa_find_similar`. Your agents can now map out entire knowledge sets based on a single URL input. This functionality turns static interfaces into active research assistants. Your users get deeper insights without needing to craft complex search queries themselves.

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.

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Common questions about Exa MCP in Vercel AI SDK

You connect the server via HTTP transport and pass the tools into your `streamText` function. This gives your agent direct access to web data within your existing TypeScript workflow.

It actually lowers perceived latency by providing cleaner data chunks that LLMs parse faster. You get more accurate results in fewer tokens, which keeps your streams moving.

Yes, it uses neural embeddings to find conceptual matches rather than simple keywords. Your agent will pull higher quality context, leading to fewer hallucinations.

You provide an endpoint token to the Vinkius-managed server. The configuration is handled at the transport layer, keeping your keys out of the frontend code.

Exa only processes the URLs and queries you explicitly send through the tool calls. All traffic is encrypted in transit, and no raw personal data is stored by the server.

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