Live2D Automation MCP Server

Live2D Automation MCP Server

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.

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README

Live2D 自动化 MCP Server

从单张照片自动生成完整的 Live2D 模型。

功能特点

  • 🤖 AI 自动分割身体部位
  • 🎨 自动生成 Live2D 分层
  • 🔧 自动绑定骨骼和变形器
  • 🌊 自动配置物理效果
  • 🎬 自动生成多种动作
  • ⚡ 一键完整流水线

安装

cd live2d_automation
pip install -r requirements.txt

使用

方法 1：在 VS Code 中使用（推荐）

  1. 打开 VS Code 命令面板 (Ctrl+Shift+P)
  2. 运行 MCP: Add Server
  3. 选择 Command
  4. 输入: python -m live2d_automation.mcp_server.server

方法 2：直接运行

python -m live2d_automation.mcp_server.server

方法 3：使用完整流水线

# 一键生成 Live2D 模型
from live2d_automation.mcp_server.server import full_pipeline

result = await full_pipeline(
    image_path="path/to/photo.png",
    output_dir="output/",
    model_name="MyCharacter",
    motion_types=["idle", "tap", "move", "emotional"]
)

MCP Tools

工具 说明
analyze_photo 分析照片，检测人物姿态
generate_layers 生成 Live2D 分层
create_mesh 创建 ArtMesh 网格
setup_rigging 设置骨骼绑定
configure_physics 配置物理效果
generate_motions 生成动作文件
full_pipeline 一键完整流水线

输出文件结构

output/
└── [model_name]/
    ├── model3.json       # 模型配置文件
    ├── physics.json      # 物理配置文件
    ├── textures/         # 贴图目录
    │   ├── layer_head.png
│   ├── layer_body.png
│   └── ...
└── motions/            # 动作目录
    ├── Idle_Breath.motion3.json
    ├── Idle_Blink.motion3.json
    ├── Tap_Head.motion3.json
    └── ...

系统要求

  • Python 3.8+
  • NVIDIA GPU (推荐 8GB+ 显存)
  • CUDA 11.8+ (如果使用 GPU)

License

MIT

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