How to connect Genderize to Claude

Claude is Anthropic's AI assistant, available on the web, in the desktop app, and on mobile. Cowork is its agent for knowledge work, and it runs on all of those surfaces too. Connected to your apps, Claude can work with your files and services to accomplish complex tasks on your behalf.

This guide walks you through the easiest and most secure way to connect your Genderize account to Claude via Composio Connect, enabling it to predict gender for a single first name, analyze gender breakdown for a list of names, estimate gender distribution by country for event guests, and more such actions on your behalf without compromising your account security.

Setup is the same on Claude Web, Desktop, and Cowork, and you only need to do it once. The connector is tied to your account, so it's available in all three.

Connecting Genderize to Claude Web, Desktop, and Cowork

Two ways to add the Composio connector. Pick whichever you prefer.

1. Add with one click

Click the button. Claude opens with the Composio connector filled in. Click Add, then go to step 2.

Add to Claude

Add manually

In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.

Click Add custom connector and paste in the Composio MCP server URL:

The Genderize MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Genderize account. It provides structured and secure access to gender prediction tools, so your agent can perform actions like analyzing names for gender, running batch predictions, and localizing results by country—all seamlessly on your behalf.

• Single name gender prediction: Instantly determine the likely gender of any first name your agent encounters, complete with statistical confidence.
• Batch gender analysis: Predict genders for a list of first names in one go, perfect for analyzing datasets or email lists efficiently.
• Localized gender estimation: Enhance accuracy by predicting gender based on both name and country code, adapting results to regional naming trends.
• Automated demographic tagging: Let your agent enrich contacts, surveys, or user lists with gender predictions to streamline data categorization and profiling.
• Statistical breakdowns and probability scores: Access probability statistics for each prediction, allowing your agent to make informed decisions in downstream workflows.