How to Use the Genderize MCP in Windsurf
Let Windsurf's Cascade agent automatically estimate gender from lists of names for quick demographic analysis. No manual prompting needed.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Genderize MCP to Windsurf
Create your Vinkius account to connect Genderize to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Process Name Lists Autonomously
The `estimate_genders_bulk` tool lets Cascade process entire lists of first names in one shot. Give your agent a CSV of potential customers and a goal like "find the probable gender for each name." Cascade plans the steps, calls the tool, and appends the results without you intervening. This isn't just about running one command. Cascade sees the task, finds the right tool in the Genderize MCP Server, executes it, and presents the finished data. You set the objective, it handles the mechanics.
Use Location-Specific Name Data
Your AI agent can make smarter guesses by using country-specific data. The server has dedicated tools like `estimate_gender_us`, `estimate_gender_brazil`, and `estimate_gender_uk`. If your data includes location info, Cascade can automatically route names to the correct tool. This gives you a better shot at an accurate guess for names that have different gender associations across cultures. Cascade's planning ability means it can build a multi-tool workflow on its own, running different names through different regional estimators as needed.
Check API Status Before Big Jobs
Before starting a large data enrichment task, Cascade can use the `verify_api_connection` tool. This simple check confirms that the Genderize.io service is online and reachable. It's a basic but critical step to prevent a long-running job from failing halfway through. Because Cascade can chain actions, you can build this check into any workflow. Tell it to verify the connection first, then proceed with the bulk name processing. It’s a simple way to make your autonomous tasks more reliable.
Set up Genderize MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the Genderize MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my Genderize payment history." If connected, Cascade will call the Genderize tools directly. You will see a green dot next to the server name in the MCP panel.
{
"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 Windsurf
Use it with your favorite AI tools
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Start using the Genderize MCP today
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