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Lusha MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Bulk Enrich Companies, Bulk Enrich Persons, Enrich Company Info, and more

Built by Vinkius GDPR 12 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.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Lusha app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lusha MCP Server

Connect your Lusha account to any AI agent and take full control of your sales prospecting and data enrichment through natural conversation. Lusha provides a premier B2B database, and this integration allows you to retrieve high-fidelity contact details (email, phone), enrich company metadata, and search for new prospects directly from your chat interface.

The Vercel AI SDK gives every Lusha tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 & Person Enrichment — Lookup detailed contact metadata programmatically using name, company, or LinkedIn URLs to ensure your CRM is always synchronized.
  • Company & Firmographic Intelligence — Access and monitor company data including industry, revenue, and headcount directly from the AI interface to qualify accounts in real-time.
  • Prospecting & Search Control — Search for new contacts and companies matching your Ideal Customer Profile (ICP) via natural language to drive better sales efficiency.
  • Usage & Credit Oversight — Access granular details for your credit consumption and remaining balance using simple AI commands to maintain a clear overview of your resources.
  • Operational Monitoring — Track system responses and manage data ingestion to ensure your sales workflows are always optimized.

The Lusha MCP Server exposes 12 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.

All 12 Lusha tools available for Vercel AI SDK

When Vercel AI SDK connects to Lusha through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-intelligence, data-enrichment, prospecting, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

bulk_enrich_companies

Enrich multiple companies

bulk_enrich_persons

Enrich multiple contacts

enrich_company_info

Get firmographics

enrich_person_info

Get contact details

get_account_info

Check connection

get_credit_balance

Check account balance

get_person_by_email

Enrich by email

get_person_by_linkedin

Enrich by LinkedIn

get_usage_stats

Check API usage

prospect_new_companies

Search for businesses

prospect_new_leads

Search for contacts

test_lusha_auth

Verify API key

Connect Lusha to Vercel AI SDK via MCP

Follow these steps to wire Lusha into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 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

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

"Enrich this contact: John Miller at Acme Corp."

02

"Search for companies in New York with 500-1000 employees in the SaaS industry."

03

"Check my Lusha credit balance."

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.