# namegender-mcp

> namegender-mcp — anpekesen-namegender-mcp. Use this tool when you need to determine the gender of individuals based on their names, emails, or usernames, and require probability scores, sample sizes, and source information for accurate analysis. It solves problems related to user profiling, data enrichment, and demographic analysis by providing reliable gender identification. The tool accepts names, emails, or usernames as input and returns gender information with associated probabilities, sample sizes, and sources.

Canonical page: https://skillsregistry.net/skills/anpekesen-namegender-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anpekesen-namegender-mcp

## Description

Model Context Protocol server for the NameGender API: gender from names, emails and usernames, with probability, sample size and source on every answer.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/anpekesen/namegender-mcp)

## 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": "anpekesen-namegender-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anpekesen-namegender-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anpekesen-namegender-mcp/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