figma-restoration-tools
A comprehensive MCP server for Vue component development and Figma design restoration, featuring snapDOM-powered screenshots, pixel-perfect visual comparison, and automated SVG optimization.
README
Figma Restoration MCP Vue Tools
🛠️ Professional Figma Component Restoration Kit - A comprehensive MCP (Model Context Protocol) server for Vue component development and Figma design restoration. Features snapDOM-powered high-quality screenshots, intelligent visual comparison, and automated SVG optimization.
🚀 Features
- 🎯 High-Quality Screenshots: snapDOM technology with 3x scaling, font embedding, and intelligent shadow detection
- 🔍 Advanced Visual Comparison: Pixel-perfect analysis with smart difference detection and quality assessment
- 🎨 SVG Optimization: Built-in SVGO integration with customizable configuration
- 🤖 MCP Integration: Seamless integration with AI coding assistants (Cursor, Claude, etc.)
📦 Quick Start
🌐 Remote Version (Recommended)
Use the published npm package for easy setup and automatic updates:
Step 1: Add the MCP server to your Cursor configuration (~/.cursor/mcp.json):
{
"mcpServers": {
"figma-restoration-tools": {
"command": "npx",
"args": [
"-y",
"figma-restoration-tools",
"start"
],
"env": {
"PUPPETEER_EXECUTABLE_PATH": "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome",
"NODE_ENV": "production"
}
}
}
}
Step 2: Restart Cursor after adding the configuration.
Step 3: Use the MCP tools in Cursor:
figma_compare- Compare components with Figma designssnapdom_screenshot- Take high-quality component screenshotsoptimize_svg- Optimize SVG assets
🔧 Local Development Version
For contributors or advanced users who need to modify the source code:
Step 1: Clone and setup the repository:
git clone https://github.com/tianmuji/figma-restoration-tools.git
cd figma-restoration-tools
npm install
Step 2: Add the local MCP server to your Cursor configuration:
{
"mcpServers": {
"figma-restoration-tools": {
"command": "node",
"args": [
"/absolute/path/to/figma-restoration-tools/src/server.js"
],
"cwd": "/absolute/path/to/figma-restoration-tools",
"env": {
"PUPPETEER_EXECUTABLE_PATH": "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome",
"NODE_ENV": "development"
}
}
}
}
🛠️ MCP Tools
figma_compare
Advanced component comparison tool that analyzes differences between expected and actual screenshots.
Parameters:
{
"tool": "figma_compare",
"arguments": {
"componentName": "MyComponent",
"projectPath": "/path/to/your/vue/project",
"threshold": 0.1,
"outputPath": "/custom/output/directory"
}
}
Features:
- Pixel-perfect difference detection
- Quality assessment scoring
- Detailed analysis reports (JSON & Markdown)
- Customizable comparison threshold
snapdom_screenshot
High-quality DOM screenshot tool using snapDOM technology for precise component capture.
Parameters:
{
"tool": "snapdom_screenshot",
"arguments": {
"componentName": "MyComponent",
"projectPath": "/path/to/your/vue/project",
"port": 3000,
"viewport": {
"width": 1440,
"height": 800
},
"snapDOMOptions": {
"scale": 3,
"compress": true,
"embedFonts": true,
"backgroundColor": "transparent",
"padding": 0
},
"outputPath": "/custom/output/path.png"
}
}
Features:
- 3x scaling for high-resolution output
- Intelligent shadow and effect capture
- Font embedding support
- Transparent background support
- Custom viewport and output settings
optimize_svg
SVG optimization tool powered by SVGO with customizable configuration.
Parameters:
{
"tool": "optimize_svg",
"arguments": {
"inputPath": "/path/to/input.svg",
"outputPath": "/path/to/optimized.svg",
"svgoConfig": {
"plugins": ["preset-default"],
"multipass": true,
"floatPrecision": 2
}
}
}
Features:
- Advanced SVG optimization
- Customizable SVGO configuration
- Batch processing support
- Size reduction reports
⚙️ Configuration
Environment Variables
PUPPETEER_EXECUTABLE_PATH: Path to Chrome/Chromium executableNODE_ENV: Environment mode (development/production)
Shadow Detection
For components with shadows, the tool automatically calculates optimal padding based on effect data:
{
"snapDOMOptions": {
"scale": 3,
"padding": 0,
"figmaEffects": [
{
"type": "DROP_SHADOW",
"offset": {"x": 0, "y": 5},
"radius": 30,
"spread": 0
}
]
}
}
Comparison Thresholds
| Threshold | Sensitivity | Use Case |
|---|---|---|
| 0.0-0.05 | Very Strict | Pixel-perfect matching |
| 0.05-0.1 | Strict | High-quality components |
| 0.1-0.2 | Moderate | General comparison |
| 0.2+ | Loose | Rough similarity check |
🎯 Typical Workflow
- Setup: Configure MCP server in Cursor
- Screenshot: Use
snapdom_screenshotto capture component - Compare: Use
figma_compareto analyze differences - Optimize: Use
optimize_svgfor asset optimization - Iterate: Refine component based on analysis results
📋 Requirements
- Node.js: ≥ 18.0.0
- Chrome/Chromium: For screenshot generation
- Vue.js project: For component restoration
- MCP-compatible client: Cursor IDE, Claude Desktop, etc.
🤝 Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/new-feature) - Commit your changes (
git commit -m 'Add new feature') - Push to the branch (
git push origin feature/new-feature) - Open a Pull Request
📄 License
This project is licensed under the MIT License. See the LICENSE file for details.
🔗 Links
- GitHub: tianmuji/figma-restoration-tools
- npm: figma-restoration-tools
- Issues: Report bugs & feature requests
🙏 Acknowledgments
- snapDOM: High-quality DOM screenshots
- Model Context Protocol: MCP framework
- Vue.js: Progressive JavaScript framework
- SVGO: SVG optimization library
🎨 Built for developers who demand pixel-perfect component restoration 🎨
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。