How to Use the ZoomInfo MCP in Cursor

Q: How do I find company data using ZoomInfo with Cursor?

You let the agent call searchcompanies. The response is structured data—not just text. Your AI client then writes code that handles this data, letting you use it immediately in your project's logic.

Q: Does ZoomInfo help me find contacts when using Cursor?

Yes. You can call searchcontacts to locate a group of leads. Then, the agent uses enrichcontact on those IDs, and the result is live data you write directly into your code base.

Q: What kind of signals can ZoomInfo provide when using Cursor?

You use the searchintent tool. It gives you actionable intent signals that are immediately available to your coding logic. This lets your program adapt based on what customers are actively looking for.

Q: How do I check API limits with ZoomInfo when using Cursor?

You call getusage. This returns the metrics you need, which you can then use in a programmatic check within your script. It keeps your project running smoothly.

Write code that uses live ZoomInfo data directly inside Cursor.

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Connect ZoomInfo MCP to Cursor

Create your Vinkius account to connect ZoomInfo to Cursor 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 Cursor

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Populate Code with Company Data

The `search_companies` tool lets your AI generate working code using real company records. When you call it, the agent gets live JSON data back that can be injected directly into a variable or object in your file. This is way better than stubs. You're writing with actual context—say you need to check if a target exists; just use `search_companies`.

Build Contact Lists Programmatically

You can write functions that find and enrich leads using `search_contacts` and `enrich_contact`. The live data returned allows your AI to format the results—like building a CSV object or an array of user objects. It's ideal for CI/CD scripts where you need to validate contact information before deployment.

Analyze Market Signals in Code

Need to check market interest? Use `search_intent` within your code. The tool returns structured intent signals, letting your AI logic make decisions based on current industry trends. Similarly, you can use `list_intent_topics` to generate a list of valid topics that your code needs to process.

Setup guide

Set up ZoomInfo MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ZoomInfo MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ZoomInfo transactions." If the MCP tools are loaded correctly, Cursor will call the ZoomInfo tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zoominfo-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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 Cursor

You let the agent call `search_companies`. The response is structured data—not just text. Your AI client then writes code that handles this data, letting you use it immediately in your project's logic.

Yes. You can call `search_contacts` to locate a group of leads. Then, the agent uses `enrich_contact` on those IDs, and the result is live data you write directly into your code base.

You use the `search_intent` tool. It gives you actionable intent signals that are immediately available to your coding logic. This lets your program adapt based on what customers are actively looking for.

The server touches company and contact records, along with usage metrics and intent signals. All of this information is passed back as structured data that your AI client can parse and write into code variables.

You call `get_usage`. This returns the metrics you need, which you can then use in a programmatic check within your script. It keeps your project running smoothly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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