ai-mldeveloper-tools

Sketch

by mater1996

Sketch processes design files, extracts internal structure, and renders SVGs for automated design analysis and design-to

Processes Sketch design files by extracting internal structure, analyzing design elements, and rendering visual components as SVG images for design-to-code workflows and automated design analysis.

github stars

11

90% token consumption reduction16 specialized analysis toolsNo installation required with npx

best for

  • / Design-to-code automation workflows
  • / AI-powered design analysis
  • / Automated design system documentation
  • / Design file inspection and debugging

capabilities

  • / Load and parse Sketch design files
  • / Extract node positions and detailed design information
  • / Search nodes by name patterns
  • / Render design components as SVG images
  • / Analyze page structures and hierarchies
  • / Process Symbol Masters and Instances

what it does

Processes Sketch design files to extract design elements, analyze structure, and convert components to SVG for automated design-to-code workflows.

about

Sketch is a community-built MCP server published by mater1996 that provides AI assistants with tools and capabilities via the Model Context Protocol. Sketch processes design files, extracts internal structure, and renders SVGs for automated design analysis and design-to It is categorized under ai ml, developer tools. This server exposes 17 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Sketch in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Sketch is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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 NameDescription
loadSketchByPathLoad Sketch file from file system
loadSketchByConfigLoad Sketch data from configuration object

📊 Document Structure Tools

Tool NameDescriptionOptimization Features
getDocumentStructureGet complete document hierarchy🚀 Supports field filtering and summary mode
getPageStructureGet single page structure-
listPagesList all page basic information-

🎯 Node Query Tools

Tool NameDescriptionToken Optimization
getNodesSummarySmart Node Summary🔥 80-90% Token Reduction
listNodesList nodes (with filtering support)-
listNodesByPageList nodes by page-
findNodesByNameSearch nodes by name-

🔍 Detailed Information Tools

Tool NameDescription
getNodeInfoGet detailed information for single node
getMultipleNodeInfoBatch get node information (up to 100)
getNodePositionGet node position information

🔄 Symbol Component Tools

Tool NameDescription
getSymbolMastersGet all Symbol Masters
getSymbolInstancesGet all Symbol Instances
getSymbolMasterBySymbolIDFind Master by Symbol ID
getSymbolInstanceStylesGet instance styles (including override styles)

🎨 Visualization Tools

Tool NameDescription
renderNodeAsBase64Render node as image (SVG/PNG)

💡 Token Optimization Strategy

Data Volume Comparison

Tool/ModeToken ReductionUse Case
getNodesSummary80-90%Initial analysis, understanding overall structure
getDocumentStructure (summary mode)70-85%Quick document structure overview
getDocumentStructure (field filtering)30-50%Structural analysis
Full mode0%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 CaseRecommended ToolToken EfficiencyDescription
Understanding overall structuregetNodesSummary⭐⭐⭐⭐⭐Most efficient overview method
Analyzing page hierarchygetDocumentStructure (filtered)⭐⭐⭐⭐Structured hierarchical information
Finding specific nodesfindNodesByName⭐⭐⭐Precise search
Getting detailed informationgetMultipleNodeInfo⭐⭐Batch retrieval
Handling Symbol componentsgetSymbolMasters⭐⭐⭐Component-based design
Visual confirmationrenderNodeAsBase64⭐⭐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

FAQ

What is the Sketch MCP server?
Sketch is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Sketch?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Sketch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Sketch against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Sketch is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Sketch reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Sketch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Sketch surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Sketch has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Sketch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Sketch into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Sketch is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.