Lusha MCP Server for Mastra AI 6 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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": {
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 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Lusha?"
);
console.log(result.text);
}
main();
* 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 Lusha to your AI agent and access verified B2B contact data for your sales prospecting.
Mastra's agent abstraction provides a clean separation between LLM logic and Lusha tool infrastructure. Connect 6 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 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 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.
How to Connect Lusha to Mastra AI via MCP
Follow these steps to integrate the Lusha MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lusha without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Lusha tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query Lusha, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Lusha as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Lusha on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Lusha tools alongside other MCP servers
Lusha MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Lusha to Mastra AI via MCP:
bulk_enrich
Bulk enrich emails
find_by_linkedin
Find by LinkedIn URL
find_company
Find company
find_person
Find person
get_credits
Get credit balance
search_contacts
Search contacts
Example Prompts for Lusha in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Lusha immediately.
"Find the contact details for John Smith, VP Sales at TechCo."
"Enrich this list of 5 contacts from my CRM."
"Search for marketing directors at fintech companies in London."
Troubleshooting Lusha MCP Server with Mastra AI
Common issues when connecting Lusha to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLusha + Mastra AI FAQ
Common questions about integrating Lusha MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Lusha with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lusha to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.