# mcp-gwansang

> Use this tool when you need to analyze facial features from photos, extracting deterministic measurements like face shape ratios and symmetry. It solves problems in facial recognition, analysis, and comparison by providing structured JSON output with detailed measurements. Ideal for applications requiring local, privacy-focused facial feature extraction, such as identity verification or beauty analysis.

Canonical page: https://skillsregistry.net/skills/molpass-mcp-gwansang  
JSON: https://api.skillsregistry.net/v1/skills/molpass-mcp-gwansang

## Description

Extracts deterministic facial features from photos locally using MediaPipe, returning structured JSON with measurements like face shape ratios and symmetry.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ha7k5szp0u)
- **Repository:** <https://github.com/molpass/mcp-gwansang>

## 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": "molpass-mcp-gwansang"
    }
  }
}
```

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