sketch-mcp-server

sketch-mcp-server

A Sketch file processing MCP server that enables AI tools to analyze Sketch design files and generate code, with smart token optimization and 16 professional tools for design element discovery and analysis.

Category
访问服务器

README

Sketch MCP Server

English | 中文

A Sketch file processing server based on Model Context Protocol (MCP), designed for AI tools to intelligently analyze Sketch design files and generate code.

✨ Core Features

  • 🎨 Sketch File Analysis: Comprehensive parsing of Sketch files, extracting nodes, styles, hierarchies, and complete information
  • 🚀 Smart Token Optimization: Up to 90% token consumption reduction, significantly lowering AI call costs
  • 🔍 Intelligent Query System: 16 professional tools for efficient discovery and analysis of design elements
  • 🎯 Symbol Component Support: Complete Symbol Master and Instance processing capabilities
  • 🖼️ Visual Rendering: Render design nodes as SVG/PNG images for AI analysis
  • 📊 Detailed Statistical Analysis: Comprehensive statistics for documents and nodes
  • 🔧 CLI Tool Support: Support for direct npx calls without installation

📦 Installation

Global Installation (Recommended)

npm install -g sketch-mcp-server

Using npx (No Installation Required)

npx sketch-mcp-server

Local Project Installation

npm install sketch-mcp-server

🚀 Quick Start

Command Line Launch

# Start MCP server (stdio mode)
sketch-mcp-server

# Or use npx
npx sketch-mcp-server

AI Tool Integration

This server is designed for the following AI development environments:

  • Trae AI: As an MCP server for Sketch file analysis
  • Cursor: Configure as MCP tool for design-to-code workflow
  • Claude Desktop: For Sketch file processing and analysis

Trae AI Configuration Example

Add MCP server configuration in Trae AI:

{
  "mcpServers": {
    "sketch-mcp-server": {
      "command": "npx",
      "args": ["sketch-mcp-server"]
    }
  }
}

🛠️ Tool List

📁 File Loading Tools

Tool Name Description
loadSketchByPath Load Sketch file from file system
loadSketchByConfig Load Sketch data from configuration object

📊 Document Structure Tools

Tool Name Description Optimization Features
getDocumentStructure Get complete document hierarchy 🚀 Supports field filtering and summary mode
getPageStructure Get single page structure -
listPages List all page basic information -

🎯 Node Query Tools

Tool Name Description Token Optimization
getNodesSummary Smart Node Summary 🔥 80-90% Token Reduction
listNodes List nodes (with filtering support) -
listNodesByPage List nodes by page -
findNodesByName Search nodes by name -

🔍 Detailed Information Tools

Tool Name Description
getNodeInfo Get detailed information for single node
getMultipleNodeInfo Batch get node information (up to 100)
getNodePosition Get node position information

🔄 Symbol Component Tools

Tool Name Description
getSymbolMasters Get all Symbol Masters
getSymbolInstances Get all Symbol Instances
getSymbolMasterBySymbolID Find Master by Symbol ID
getSymbolInstanceStyles Get instance styles (including override styles)

🎨 Visualization Tools

Tool Name Description
renderNodeAsBase64 Render node as image (SVG/PNG)

💡 Token Optimization Strategy

Data Volume Comparison

Tool/Mode Token Reduction Use Case
getNodesSummary 80-90% Initial analysis, understanding overall structure
getDocumentStructure (summary mode) 70-85% Quick document structure overview
getDocumentStructure (field filtering) 30-50% Structural analysis
Full mode 0% Detailed design requirements

Recommended Workflow

  1. 🔍 Quick Analysis: Use getNodesSummary to understand overall design structure
  2. 📋 Structure Analysis: Use field-filtered getDocumentStructure to get hierarchical relationships
  3. 🎯 Detailed Information: Get detailed information for specific nodes as needed
  4. 👁️ Visual Verification: Render key components to confirm effects

📝 Usage Examples

Basic Workflow

// 1. Load Sketch file
{
  "name": "loadSketchByPath",
  "arguments": {
    "path": "/path/to/design.sketch"
  }
}

// 2. Get smart summary (save 80-90% tokens)
{
  "name": "getNodesSummary",
  "arguments": {
    "groupBy": "type",
    "includeStats": true,
    "maxSamples": 5
  }
}

// 3. Get detailed information for specific nodes
{
  "name": "getMultipleNodeInfo",
  "arguments": {
    "nodeIds": ["button-id", "text-id"]
  }
}

// 4. Render node as image
{
  "name": "renderNodeAsBase64",
  "arguments": {
    "nodeId": "button-id",
    "format": "svg"
  }
}

Advanced Optimization Examples

// Use field filtering to reduce data volume
{
  "name": "getDocumentStructure",
  "arguments": {
    "fields": ["id", "name", "type", "children"],
    "maxDepth": 3,
    "summaryMode": false
  }
}

// Smart summary grouped by style
{
  "name": "getNodesSummary",
  "arguments": {
    "groupBy": "style",
    "includeStats": true,
    "maxSamples": 3
  }
}

🎯 Tool Selection Guide

Use Case Recommended Tool Token Efficiency Description
Understanding overall structure getNodesSummary ⭐⭐⭐⭐⭐ Most efficient overview method
Analyzing page hierarchy getDocumentStructure (filtered) ⭐⭐⭐⭐ Structured hierarchical information
Finding specific nodes findNodesByName ⭐⭐⭐ Precise search
Getting detailed information getMultipleNodeInfo ⭐⭐ Batch retrieval
Handling Symbol components getSymbolMasters ⭐⭐⭐ Component-based design
Visual confirmation renderNodeAsBase64 ⭐⭐ Intuitive effect viewing

🔧 Development Guide

Environment Requirements

  • Node.js >= 16.0.0
  • npm or yarn

Local Development

# Clone project
git clone https://github.com/mater1996/sketch-mcp-server.git
cd sketch-mcp-server

# Install dependencies
npm install

# Build project
npm run build

# Run tests
npm test

# Start development server
npm run start:mcp

Available Scripts

npm run build          # Build TypeScript to JavaScript
npm run test           # Run test suite
npm run test:coverage  # Run tests and generate coverage report
npm run start          # Start HTTP server
npm run start:mcp      # Start MCP stdio server
npm run release        # Release new version
npm run release:dry    # Simulate release process

📚 API Reference

For detailed API documentation, please refer to Tool Usage Guide.

Development Standards

  • Write code in TypeScript
  • Follow existing code style
  • Add tests for new features
  • Update relevant documentation

📄 License

MIT License

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📞 Support

If you encounter any issues or have questions, please:

  1. Check the documentation
  2. Search existing issues
  3. Create a new issue if needed

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选