# Live2D Automation MCP Server

> Use this tool when you need to automate the creation of Live2D models from photos, solving the problem of manual segmentation, rigging, and physics configuration. It takes a single photo as input and generates a complete Live2D model with layered art meshes and motion files as output. Ideal for use in animation and game development contexts where efficient character creation is required.

Canonical page: https://skillsregistry.net/skills/j621111-live2d-automation  
JSON: https://api.skillsregistry.net/v1/skills/j621111-live2d-automation

## Description

Enables the automatic generation of complete Live2D models from a single photo by automating segmentation, rigging, and physics configuration. It provides a full pipeline for creating layered art meshes and motion files through a suite of specialized animation tools.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ulhcs9dal1)
- **Repository:** <https://github.com/J621111/live2d-automation>

## 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": "j621111-live2d-automation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j621111-live2d-automation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j621111-live2d-automation/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