# mcp-agify

> mcp-agify — pipeworx-io-mcp-agify. Use this tool when you need to predict a person's age based on their first name, solving problems such as demographic analysis or user profiling. It takes a first name as input and outputs a predicted age, providing a simple interface for age prediction. Utilize mcp-agify in contexts where age estimation is necessary, such as marketing research or social media analysis.

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

## Description

MCP server for Agify.io — predict a person's age from their first name

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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-agify"
    }
  }
}
```

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