How to Use the Lusha MCP in Vercel AI SDK

Feed verified B2B emails and phone numbers straight into your React UI using Vercel AI SDK and this Lusha MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Lusha MCP to Vercel AI SDK

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

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Live contact search for Vercel AI SDK

The `search_contacts` tool lets your React frontend query Lusha's database in real-time. Your AI client grabs target profiles and displays them instantly as they load, bypassing the loading spinners you're used to. This direct connection keeps users engaged. They see names, titles, and companies populating their screen sequentially, transforming static search forms into active data feeds.

On-the-fly lead enrichment

Processing up to a hundred email addresses in a single API call is what the `bulk_enrich` tool does. Your application feeds raw lists directly to the MCP Server, bypassing manual CSV uploads. You can display the incoming data points using Next.js Edge Functions. It reduces latency to milliseconds, making bulk operations feel instantaneous to the end user.

Real-time budget tracking

Monitoring your active balance is handled by the `get_credits` tool. This check prevents runtime errors by blocking outbound queries when your budget runs low. You write simple conditional logic around this tool. If the balance is insufficient, your application alerts the user immediately instead of failing silently mid-operation.

Setup guide

Set up Lusha 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 Lusha 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 Lusha 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 Lusha. 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.

Connect Lusha now

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 Lusha MCP in Vercel AI SDK

Install the required packages, then initialize the MCP Server connection using your HTTP endpoint URL. Pass the tools directly into your text generation functions and close the connection when the execution finishes.

Yes, the integration is fully compatible with Edge runtimes. Your agent invokes the lookup tools to resolve profile data within milliseconds.

Yes, the SDK streams data from the server directly into your components. This means phone numbers and emails render as soon as Lusha returns them.

Your agent receives an array of matching profiles. You can write UI components that let users select the correct contact from the list.

Absolutely. Vinkius runs the MCP Server in an isolated sandbox, keeping your credentials hidden from the frontend. Your client only sees the final JSON payload containing emails and phone numbers.

Use it with your favorite AI tools

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

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