How to connect Genderize to Claude Cowork

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.

This guide walks you through the easiest and most secure way to connect your Genderize account to Cowork 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.

Connecting Genderize to Claude Cowork

1. Open Customize

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

2. Add the Composio MCP server

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

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.

With Composio Connect, Cowork can securely access apps like Genderize through MCP without you sharing account credentials directly with the agent.

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.