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Lusha MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Bulk Enrich Companies, Bulk Enrich Persons, Enrich Company Info, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Lusha through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Lusha app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Lusha Agent",
    instructions:
      "You help users interact with Lusha " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Lusha?"
  );
  console.log(result.text);
}

main();
Lusha
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Lusha tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Lusha via MCP

Why Use Mastra AI with the Lusha MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lusha without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Lusha tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Lusha + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Lusha, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Lusha as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Lusha on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Lusha tools alongside other MCP servers

Example Prompts for Lusha in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Lusha + Mastra AI FAQ

Common questions about integrating Lusha MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.