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How to Use the AeroLeads MCP in Mastra AI

Build automated prospecting workflows in Mastra AI with built-in retries and conditional logic.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect AeroLeads MCP to Mastra AI

Create your Vinkius account to connect AeroLeads 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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Mastra AI workflows for lead generation

Chain `search_domain_leads` with `get_lead_details` to build an automated pipeline that finds, vets, and saves prospects. Mastra AI handles the branching if a search returns empty. If a tool call fails, the framework automatically triggers an exponential backoff. You don't have to write custom error handling for network blips.

Conditional lead management in Mastra AI

Use `list_captured_leads` to trigger follow-up steps in your agent workflow. You can decide to delete a record with `delete_lead` if it doesn't meet your criteria. Your agent makes these decisions in real-time. It acts as a gatekeeper for your sales database.

Automated account oversight for Mastra AI

Monitor your team's usage by calling `get_account_info` and `list_team_members` within your agent's routine. It keeps your operations transparent. If your credit balance drops below a threshold via `get_credit_balance`, you can program your agent to alert your admin. It prevents service interruptions.

Setup guide

Set up AeroLeads 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

  4. 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: "aeroleads-mcp-client",
  servers: {
    "aeroleads-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AeroLeads. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AeroLeads MCP in Mastra AI

You instantiate the client and spread its tools into your agent definition. This makes every function available as a step in your workflows.
Yes, the framework includes built-in retry logic. If a network error occurs, it tries again before failing the step.
Use the tool approval settings to force a human review for specific actions. This is perfect for operations like deleting leads.
You can use `list_webhooks` to see what is currently active. This helps you track your automation status from inside your agent logic.
Your private contact information is processed through a secure, ephemeral session. The server enforces strict scoping so your agent only sees the lead data you explicitly authorize.

Start using the AeroLeads MCP today

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