- name
- pipeworx-genderize
- description
- Predict the likely gender associated with a first name — with optional country-specific calibration via genderize.io
- version
- 1.0.0
- metadata
- openclaw
- requires
- bins
- emoji
- 👥
- homepage
- https://pipeworx.io/packs/genderize
Genderize
Predict the statistical gender distribution of a first name based on a database of millions of records. Optionally calibrate predictions by country, since names like "Andrea" skew differently in Italy vs. the US.
Tools
predict_gender— Gender prediction from a first name. Returns the predicted gender and probability (0-1).predict_gender_country— Same prediction with country-specific calibration using ISO 3166-1 alpha-2 codes.
Use cases
- Personalizing marketing content based on likely gender of a first name
- Demographic analysis of customer databases
- Research on name-gender associations across cultures
- Form pre-filling where gender context helps UX
Example
curl -s -X POST https://gateway.pipeworx.io/genderize/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"predict_gender_country","arguments":{"name":"Andrea","country_id":"IT"}}}'{
"name": "Andrea",
"gender": "male",
"probability": 0.98,
"count": 54032,
"country_id": "IT"
}Setup
{
"mcpServers": {
"pipeworx-genderize": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "https://gateway.pipeworx.io/genderize/mcp"]
}
}
}