How to Use the Lusha MCP in Cursor

Q: Can I use Lusha tools to automate lead lists in Cursor?

You can use searchcontacts to pull filtered lists. The AI agent can then write these results directly into your database or JSON files for your project.

Build your sales stack in Cursor. Use the Lusha MCP Server to inject verified prospect data straight into your codebase.

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Connect Lusha MCP to Cursor

Create your Vinkius account to connect Lusha 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 Lusha with Cursor

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Programmatic prospecting in Cursor

Trigger `find_person` or `find_company` while you're writing code. The AI agent pulls live data from Lusha and structures it for your application logic. This removes the need for manual CSV imports. You write the function, and the agent populates the data using the real-time API responses.

Verify leads via Lusha in Cursor

Pipe your existing contact lists into `bulk_enrich` to clean your data. The agent validates your leads and updates your local files with fresh information. It's a faster way to handle data hygiene. You get accurate, verified details without switching windows or running external scripts.

Budget-aware coding with Lusha and Cursor

Check your API usage with `get_credits` before committing to large data tasks. You can build logic that checks your balance before running batch operations. This prevents your agent from hitting rate limits unexpectedly. You keep your development cycle smooth by monitoring Lusha credit usage right in the editor.

Setup guide

Set up Lusha 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 Lusha 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 Lusha transactions." If the MCP tools are loaded correctly, Cursor will call the Lusha tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "lusha-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 Lusha. 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 Lusha MCP in Cursor

Create a .cursor/mcp.json file in your project root. Define the Lusha server configuration there to enable it for your specific workspace.

You can use `search_contacts` to pull filtered lists. The AI agent can then write these results directly into your database or JSON files for your project.

Yes, once configured, you can call Lusha tools in Agent mode. The AI uses the `find_by_linkedin` or `find_person` tools to get data for the code it's writing.

Your credentials are stored in your local configuration files. Cursor keeps these isolated to your environment, ensuring your Lusha access stays private.

Data fetched from Lusha is handled in memory by your agent. It remains within the context of your local project and is never stored on external servers by this integration.

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