How to Use the CUFinder MCP in Mastra AI

Q: How do I pass CUFinder data between different Mastra AI workflow steps?

You map the output of one step, like finddomain, directly into the input of the next tool, such as getcompanytech. Mastra's workflow engine handles the data transition type-safely.

Build automated, self-healing sales workflows with Mastra AI and verified CUFinder B2B data.

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Connect CUFinder MCP to Mastra AI

Create your Vinkius account to connect CUFinder 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 CUFinder with Mastra AI

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Automate sales workflows with this MCP Server

This MCP Server integrates with Mastra AI to let you build workflows with complex conditional logic around your prospecting. If `find_domain` fails to locate a company, the workflow can automatically branch to search via `get_company_socials` instead. This conditional execution ensures your automated campaigns never stall on a missing URL. Your Mastra AI agent handles these lookups programmatically, passing the retrieved corporate details directly to the next step.

Handle API limits with Mastra AI retries

This MCP Server hooks directly into Mastra's workflow runner to handle API rate limits gracefully when calling tools like `bulk_enrich` or `find_employees`. You don't have to write custom error-handling code for your sales pipelines. The built-in retry engine automatically backs off and retries, making your bulk data gathering operations completely resilient to temporary network hiccups.

Build human-in-the-loop validation checkpoints

This MCP Server enables human-in-the-loop verification checkpoints by feeding tools like `verify_email` and `get_company_revenue` directly into your Mastra AI approval steps. This keeps your database clean without slowing down the rest of your pipeline. The agent pauses, alerts your team on Slack, and resumes the lead enrichment once a teammate clicks approve.

Setup guide

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

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

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

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

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Common questions about CUFinder MCP in Mastra AI

Mastra AI has a built-in retry engine with exponential backoff. If `bulk_enrich` hits a rate limit, the workflow automatically pauses and retries the call without crashing your application.

Yes, you can use Mastra's human-in-the-loop feature to pause workflows. For example, you can require approval before running `find_phone` on high-value targets to control your API usage.

You map the output of one step, like `find_domain`, directly into the input of the next tool, such as `get_company_tech`. Mastra's workflow engine handles the data transition type-safely.

No, Mastra AI automatically detects whether to use SSE or Streamable HTTP. You just pass the Vinkius URL to your client initialization.

Yes, all retrieved revenue, tech stack, and employee data is routed through a zero-trust, ephemeral V8 sandbox. Your queries are never saved or cached by Vinkius, protecting your competitive intelligence.

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