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How to Use the Genderize MCP in Cursor

Inject gender probability data directly into your code with Cursor and the Genderize MCP Server.

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Connect Genderize MCP to Cursor

Create your Vinkius account to connect Genderize 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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Generate Code with Real Gender Data

Stop writing code with placeholder data. With Cursor's agent, you can ask it to write a function that calls Genderize. It will use the `estimate_gender` tool and insert the actual API call and response handling right into your active file. For example, tell the agent: "Write a Python function that takes a name and uses `estimate_gender_us` to return the probability." Cursor generates the code, shows you how to work with the output, and gets you a working function in seconds.

Build Better Unit Tests in Cursor

Your tests need to cover real-world cases, not just happy paths. Use the Genderize tools to create more realistic test fixtures. Ask the agent to generate a test suite for a user sign-up flow, using names where the gender is obvious and others where it's ambiguous. Use `estimate_genders_bulk` to get data for a dozen names at once, then have Cursor structure that data into a test file. This makes your tests stronger because they're based on the real outputs of a service you'll actually use.

Test International User Profiles

If your app has global users, you need to test how it handles different name structures. This MCP Server gives you specific tools like `estimate_gender_france` and `estimate_gender_spain` for exactly that purpose. Inside Cursor, you can write tests for your internationalization logic. Ask the agent to check the gender for 'Marie' using the French tool and 'Javier' using the Spanish one. It's a fast way to validate that your code handles different user demographics correctly.

Setup guide

Set up Genderize MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the Genderize 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. 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. 4

    Verify the connection

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

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

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

Create a `.cursor/mcp.json` file in your project's root directory. Add the Genderize server details under the `mcpServers` key, then restart Cursor. The tools will then be available in Agent mode.
You need to tell it which one to use. For instance, instruct the agent to "use `estimate_gender_brazil` to check these names." It will then correctly use the Brazil-specific tool for the job.
Ask the agent to write a script that reads names from a source file, calls `estimate_genders_bulk` via the MCP Server, and then generates the necessary SQL INSERT statements with the results. You can run this script directly.
The API response includes a `null` gender and a probability of 0 when it can't make a guess. Have Cursor's agent write code that explicitly checks for this `null` case so you can handle it gracefully in your application.
The first name you provide is sent from your editor to the Vinkius MCP Server. That server then makes a call to the external Genderize.io API. The data is a simple pass-through and is not logged or stored by Vinkius.

Start using the Genderize MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Genderize. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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