How to Use the FindThatLead MCP in Mastra AI

Build reliable prospecting workflows in Mastra AI. Automate your outreach with a server that handles the dirty work of finding contacts.

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Connect FindThatLead MCP to Mastra AI

Create your Vinkius account to connect FindThatLead 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 FindThatLead with Mastra AI

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Automated lead prospecting for Mastra AI

Create workflows that find, verify, and save leads in one go. You can chain `domain_search` into `email_verifier` to ensure your agent only touches valid contacts. Mastra AI handles the logic while this MCP server executes the calls. You define the steps, and the agent takes care of the rest.

Multi-step campaign orchestration

Use your agent to manage active campaigns automatically. It can fetch details with `get_campaign` and decide whether to add or remove leads based on performance. This keeps your outreach logic centralized. You don't need to manually check statuses; the agent polls the data and updates the records using `get_lead`.

Account stats and health monitoring

Build agents that watch your usage limits. By calling `get_account_stats`, the agent can alert you if you're running low on credits or need to adjust your volume. It helps you stay on top of your account health. You set the rules for how the agent reacts to the data returned by `get_account_info`.

Setup guide

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

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

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

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Common questions about FindThatLead MCP in Mastra AI

Import the MCP client into your Mastra agent definition. Add the server URL, and your agent will automatically detect all 12 tools.

Yes, you can configure Mastra to retry failed calls. Since these tools are stateless, you can easily implement backoff logic for when the API is busy.

You can enable tool approval in your agent settings. This forces the agent to ask you before it executes a command like `delete_lead` or `create_lead`.

It touches domain names, email addresses, and campaign performance records. It only accesses what you explicitly authorize through the tool calls.

Every request is authenticated with your unique endpoint token. Your credentials are never exposed to the agent logic directly.

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