How to Use the Lusha MCP in Mastra AI

Build autonomous outbound workflows that enrich B2B leads using Mastra AI and the Lusha MCP Server.

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…and any MCP-compatible client

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Connect Lusha MCP to Mastra AI

Create your Vinkius account to connect Lusha to Mastra AI 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 Mastra AI

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Automated lead routing in Mastra AI

The `find_person` tool retrieves specific contact details based on a target's name and company. Mastra agents use this data to determine whether to route a lead to enterprise sales or self-service buckets. Because Mastra handles conditional branching natively, you can design workflows that fork based on the returned job title. No manual triage is required once the pipeline is active.

Bulletproof API credit management

Checking your active Lusha account balance is the job of the `get_credits` tool. If your balance drops below your chosen threshold, the workflow pauses and alerts your team. This safeguard prevents your automated outbound sequences from crashing mid-run. It makes sure your system only triggers high-value queries when you have the budget to support them.

Instant company profiling

The `find_company` tool gathers firmographic details using a domain name. Your agent calls this tool to check employee count, industry, and headquarters location before drafting a pitch. Mastra's retry mechanism handles any transient network issues automatically. Should the first lookup fail, the workflow backs off and retries without manual intervention.

Setup guide

Set up Lusha MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Lusha tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "lusha-mcp-client",
  servers: {
    "lusha-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Lusha Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Lusha tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Lusha transactions"
);
console.log(result.text);

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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

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

Built-in savings

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Single dashboard

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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 Mastra AI

Initialize the MCP Server client with your Vinkius URL. Call the tool list function on the client, then spread those tools directly into your agent configuration.

Yes, you can trigger Mastra workflows via cron jobs or webhooks. The agent pulls raw leads, runs the bulk tools, and writes the results to your database.

Yes, you can configure tool approval settings. This pauses the workflow before calling lookup tools so you can manually approve the credit spend.

When the search returns empty results, your agent branches to alternative lookup methods. You define these fallback paths directly in the workflow graph.

Your corporate email lookups process entirely within an ephemeral execution window. Vinkius never caches your search history or stores the raw contact data retrieved from Lusha.

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