How to Use the Captain Data MCP in Mastra AI

Build resilient, self-healing enrichment pipelines with Captain Data and the Mastra AI workflow engine.

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Connect Captain Data MCP to Mastra AI

Create your Vinkius account to connect Captain Data 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 Captain Data with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Build automated retries in Mastra AI with MCP

Leads fail to enrich sometimes because of dead links. Mastra AI lets you build a workflow that runs `enrich_person` and automatically retries with a different LinkedIn URL if the first attempt fails. You configure exponential backoff directly in your agent. If Captain Data returns a temporary error, the workflow pauses and tries again without crashing your script.

Route leads based on company size

Stop treating every lead the same way. Use `enrich_company` to find firmographic details, then let Mastra AI branch the logic based on employee count. Enterprise leads go to your high-touch workflow, while smaller prospects get queued for standard email sequences. You write the rules in plain TypeScript.

Track asynchronous extraction jobs automatically

Some extraction jobs take time to process. This toolset lets your agent trigger a run via `list_automation_jobs` and poll the status using `get_job_details`. Mastra AI manages the state machine for you. The workflow sleeps between checks and only proceeds once the data is fully ready.

Setup guide

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

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

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

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Common questions about Captain Data MCP in Mastra AI

Install the package and initialize the client. You then list the tools and spread them directly into your agent configuration array.

Yes, you can require manual approval. Set the approval flag on sensitive tools like `list_workflows` to prevent unauthorized automated runs.

The workflow engine catches the failure. You can define a fallback path to log the error or try finding the company using `find_company` instead.

It automatically detects whether to use SSE or Streamable HTTP. This ensures your connection to the server stays stable during long-running tasks.

Your API keys and retrieved profile data are processed in memory and never stored. Vinkius handles the underlying endpoint authentication through a secure, isolated sandbox.

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