# mcp-genderize

> mcp-genderize — pipeworx-io-mcp-genderize. Use this tool when you need to predict the gender of individuals based on their first names, solving problems related to data analysis and profiling. It takes first names as input and outputs predicted genders via the genderize.io API. Ideal for use cases involving customer data analysis, market research, or social media profiling.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-genderize  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-genderize

## Description

MCP server for gender prediction from first names via genderize.io

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-genderize)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-genderize"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-genderize` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-genderize/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt