How to Use the ContactOut MCP in Mastra AI

Build automated outreach workflows in Mastra AI using professional contact intelligence.

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Connect ContactOut MCP to Mastra AI

Create your Vinkius account to connect ContactOut 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 ContactOut with Mastra AI

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Automate lead research in Mastra AI

Chain `search_people` and `find_email_by_linkedin` to build automated research agents. These agents can perform the heavy lifting of gathering leads before you even log in. If a search fails, Mastra AI handles the retry logic for you. It turns manual data gathering into a hands-off process.

Build conditional outreach logic

Use the results from `enrich_contact` to decide the next step in your workflow. You can route high-value leads to a different branch than cold prospects. This makes your Mastra AI agents act more like a human SDR. They evaluate the data and decide what to do next based on your specific rules.

Manage your ContactOut API budget

Insert `get_api_usage` into a monitor node in your workflow. If your usage hits a certain threshold, the agent stops and sends you a Slack alert. It keeps your automation from burning through credits unexpectedly. You maintain control over your Mastra AI infrastructure at all times.

Setup guide

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

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

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

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Common questions about ContactOut MCP in Mastra AI

You instantiate the MCP client in your Mastra config. It lists the tools automatically so your agents can call them.

Absolutely, just add the server to your agent definition. The workflow engine treats these lookups like any other step.

Yes, use the tool approval setting. You can review the contact information before the agent moves to the next task.

The server uses token-based auth for every request. No contact info is cached or shared between different Mastra AI agent sessions.

The system processes your lookups through a private tunnel. Your sensitive lead data never hits persistent storage outside your controlled environment.

Use it with your favorite AI tools

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