Connect Genderize to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.
Ask your agent in plain language. Each of these maps to a real tool on the server.
Use the predict gender tool in Genderize
Use the predict gender batch tool in Genderize
Supported Tools
predict_gender
Predict Gender
Predict the gender statistically associated with up to 10 names, optionally scoped to a country. Returns the provider's male, female, or unknown prediction, probability, supporting data count, and available quota headers. For up to 100 names, use predict_gender_batch.
predict_gender_batch
Predict Gender Batch
Predict the gender statistically associated with up to 100 names in one request. Returns predictions in input order, supporting probabilities and data counts, and available quota headers. Optionally scope every name to one country.
Enable Genderize in Metorial. In your Metorial portal, enable the Genderize MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
Sign in. Select Add and sign in to load Genderize tools.
Enable Genderize in Metorial. In your Metorial portal, enable the Genderize MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
Add a custom MCP server. On ChatGPT web, open Plugins, select +, then Add custom MCP server.
Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>), choose OAuth and accept the risk notice.
Create and install the plugin. Select Create as a plugin, install it and sign in to load Genderize tools.
Enable Genderize in Metorial. In your Metorial portal, enable the Genderize MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
Add Metorial to your MCP config. Use ~/.cursor/mcp.json for every project, or .cursor/mcp.json for one.
Sign in. Open Customize in the sidebar, find Metorial and sign in to load Genderize tools.
{
"mcpServers":{
"metorial":{
"url":"<your-magic-mcp-url>"
}
}
}
Enable Genderize in Metorial. In your Metorial portal, enable the Genderize MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
Add the server over HTTP. Add --scope user to use it in every project.
Sign in. Run /mcp, select Metorial and sign in to load Genderize tools.
claude mcp add --transport http metorial <your-magic-mcp-url>
Enable Genderize in Metorial. In your Metorial portal, enable the Genderize MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
Add the server and sign in. The Codex CLI, IDE extension and ChatGPT desktop app share this config.
Check the connection. Type /mcp in Codex to see Metorial and its Genderize tools.
codex mcp add metorial --url <your-magic-mcp-url>
codex mcp login metorial
Run Genderize through the Metorial gateway
One governed layer for every app your agents reach, not a separate connector per tool.
Give Genderize and every other app to your whole team through one MCP gateway, behind your SSO.
Scope which teams and agents can use Genderize tools with role-based access control, and trace every call.
Prefer to run it yourself? Metorial is open source and self-hostable.
Predict gender associations from names using population statistics. Returns male, female, or unknown predictions with probabilities and supporting data counts. Supports country-specific localization, batches of up to 100 names, and available quota metadata.
Frequently asked questions
Common questions about connecting Genderize to AI agents with Metorial.
How many tools does the Genderize MCP server have?
The Genderize MCP server exposes 2 tools, including Predict Gender, Predict Gender Batch. Each one is governed and traced through Metorial.
Does the Genderize MCP server support triggers?
Genderize exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
Which AI clients can use the Genderize MCP server?
Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Genderize MCP server through the same Metorial URL.
How do I give only some teams access to Genderize?
Use role-based access control to decide which teams, users, and agents can use Genderize and which of its tools they can call.
Can I self-host the Genderize MCP server?
Yes. Metorial is open source, so you can run the Genderize MCP server yourself or use the hosted gateway.
Connect Genderize to production AI agents
See how Metorial gives your team governed access to Genderize, with tracing and security controls built in.