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How to Use the Hunter MCP in Vercel AI SDK

Hook up Hunter to your Vercel AI SDK projects to verify contact data and find professional emails in real-time.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Hunter MCP to Vercel AI SDK

Create your Vinkius account to connect Hunter 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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Real-time email verification in Vercel AI SDK

Your front-end components can now trigger `email_verifier` the moment a user submits a form. The data streams directly into your UI, removing the need for clunky loading states. This gives your app immediate feedback on lead quality. You catch typos before they hit your database, keeping your outbound lists clean from the start.

Direct domain searching with Vercel AI SDK

Use `domain_search` to pull company-wide contact lists into your interface. Your AI client parses the results and displays them instantly in your React or Svelte views. It handles the heavy lifting of indexing public data. You get a list of prospects without ever switching tabs or manually querying a third-party site.

Stream lead data through Vercel AI SDK

Connect `list_leads` to your app to show saved contacts directly in your dashboard. Your agent fetches the latest entries, ensuring your users see the most recent data. This keeps your lead management internal. You control how the records appear, making the information usable for your specific business logic.

Setup guide

Set up Hunter 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Hunter transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hunter.io. 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.

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hunter MCP in Vercel AI SDK

You install the MCP client and pass the tools into your `generateText` call. It connects your app to the API endpoint and lets your agents execute commands.
Yes. You pass `email_verifier` as a tool, and the AI agent runs the check against the domain whenever your code triggers it.
The MCP protocol streams tool outputs directly to your interface. You see the result of your search as soon as the agent finishes the task.
You manage your credentials in your environment variables. The server uses this key to authenticate requests to the backend.
Your data stays within your authorized connection. We use an ephemeral sandbox for every request, ensuring your lead lists and email records aren't cached or shared.

Start using the Hunter MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Hunter. Just plug in your AI agents and start using Vinkius.

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