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Lusha MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lusha through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Lusha, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Lusha MCP Server

Connect Lusha to your AI agent and access verified B2B contact data for your sales prospecting.

The Vercel AI SDK gives every Lusha tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Contact Enrichment — Find verified emails, direct dial phone numbers, and social profiles for any prospect.
  • Company Data — Pull firmographic data including industry, employee count, revenue range, and headquarters location.
  • Prospect Search — Build targeted prospect lists filtered by job title, seniority, company size, and geography.
  • Bulk Enrichment — Enrich multiple contacts at once from your existing CRM or lead lists.

The Lusha MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lusha to Vercel AI SDK via MCP

Follow these steps to integrate the Lusha MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 6 tools from Lusha and passes them to the LLM

Why Use Vercel AI SDK with the Lusha MCP Server

Vercel AI SDK provides unique advantages when paired with Lusha through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Lusha integration everywhere

03

Built-in streaming UI primitives let you display Lusha tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Lusha + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Lusha MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Lusha in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Lusha tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Lusha capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Lusha through natural language queries

Lusha MCP Tools for Vercel AI SDK (6)

These 6 tools become available when you connect Lusha to Vercel AI SDK via MCP:

01

bulk_enrich

Bulk enrich emails

02

find_by_linkedin

Find by LinkedIn URL

03

find_company

Find company

04

find_person

Find person

05

get_credits

Get credit balance

06

search_contacts

Search contacts

Example Prompts for Lusha in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lusha immediately.

01

"Find the contact details for John Smith, VP Sales at TechCo."

02

"Enrich this list of 5 contacts from my CRM."

03

"Search for marketing directors at fintech companies in London."

Troubleshooting Lusha MCP Server with Vercel AI SDK

Common issues when connecting Lusha to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Lusha + Vercel AI SDK FAQ

Common questions about integrating Lusha MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Lusha to Vercel AI SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.