How to Use the ZoomInfo MCP in Mastra AI

Q: How do I search company records using ZoomInfo and Mastra AI?

You trigger searchcompanies within a workflow. Mastra AI manages the execution, allowing you to add conditional logic—for example, only proceeding if the company count is above ten.

Q: Can I enrich leads using ZoomInfo and Mastra AI?

Yes. You can build a multi-step process where enrichcontact runs after other checks have passed. The workflow ensures that you only try to enhance data when all necessary preconditions are met.

Q: What signals does ZoomInfo provide with Mastra AI?

The toolset includes searchintent, allowing your agent to look for specific intent signals. These signals help define what a prospect is actively researching, which is key for targeted outreach.

Build complex ZoomInfo workflows using Mastra AI.

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Connect ZoomInfo MCP to Mastra AI

Create your Vinkius account to connect ZoomInfo 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 ZoomInfo with Mastra AI

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Run multi-step searches with Mastra AI

The MCP Server supports sequential tool calls, letting you build reliable pipelines. For instance, an agent can first run `search_companies`, and if results are found, it automatically passes those IDs to `get_company_news`. This workflow handles complex logic better than a simple script. Mastra AI ensures that the second step only runs after the first one successfully completes its data gathering.

Handle enrichment failures with Mastra AI

If an `enrich_contact` call fails, you don't lose the whole process. The workflow engine handles retries automatically using exponential backoff. It keeps trying until it gets valid data. This built-in resilience means your complex sales workflows are dependable. You build for failure, and Mastra AI manages the recovery.

Build specialized research with Mastra AI

You can chain together multiple tools like `search_contacts` followed by `list_intent_topics`. The output of the first tool becomes the input context for the second. This lets you automate deep market research. You're not just calling tools; you're building a directed, automated investigation that requires zero manual intervention.

Setup guide

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

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

const result = await agent.generate(
  "List recent ZoomInfo 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 ZoomInfo. 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 ZoomInfo MCP in Mastra AI

You trigger `search_companies` within a workflow. Mastra AI manages the execution, allowing you to add conditional logic—for example, only proceeding if the company count is above ten.

Yes. You can build a multi-step process where `enrich_contact` runs after other checks have passed. The workflow ensures that you only try to enhance data when all necessary preconditions are met.

The toolset includes `search_intent`, allowing your agent to look for specific intent signals. These signals help define what a prospect is actively researching, which is key for targeted outreach.

It does. The server's tools fit perfectly into Mastra AI's workflow engine. This means you get reliable execution and graceful failure handling for your data operations.

This server touches company and contact records. When running workflows, remember that the underlying data is PII (Personally Identifiable Information), so handle it with care.

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