# Face Generator MCP Server

> Use this tool when you need to generate realistic human face images for anonymous or fictional representations, such as testing datasets, digital avatars, or synthetic data. It solves problems related to data privacy and scarcity by producing non-identifiable faces with customizable dimensions and batch output. The tool takes configuration inputs for shape, size, and quantity, and outputs generated face images.

Canonical page: https://skillsregistry.net/skills/dasheck0-face-generator  
JSON: https://api.skillsregistry.net/v1/skills/dasheck0-face-generator

## Description

Generates realistic human face images that don't represent real people, offering various output shapes, configurable dimensions, and batch generation capabilities.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/av6oomxing)
- **Repository:** <https://github.com/dasheck0/face-generator>

## 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": "dasheck0-face-generator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dasheck0-face-generator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dasheck0-face-generator/pull`

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