website-design-systems-mcp

Extract complete design systems from any website and generate AI-ready skill.md files

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Overview

website-design-systems-mcp is a Model Context Protocol (MCP) server that extracts comprehensive design systems from any website URL. It generates detailed, AI-readable skill.md files that enable AI assistants to recreate the exact same design.

Features

• 🎨 Complete Color Palette Extraction - Primary, secondary, and neutral colors with semantic naming
• 📝 Typography Analysis - Font families, type scale, weights, line heights
• 📏 Spacing System Detection - Tokens, base units, CSS variables
• 🔲 Border Radius & Shadows - All design tokens captured
• 📐 Layout Analysis - Container widths, breakpoints, grid systems
• 🏷️ Brand Identity - Logo, favicon, meta information
• 🚫 No Browser Required - Pure HTTP extraction, no Puppeteer/Playwright
• 🛡️ Anti-Blocking - User-Agent rotation, proper headers

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Installation

npm install website-design-systems-mcp

Or use directly with npx:

npx website-design-systems-mcp

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Usage with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "website-design-systems": {
      "command": "npx",
      "args": ["-y", "website-design-systems-mcp"]
    }
  }
}

Or if installed locally:

{
  "mcpServers": {
    "website-design-systems": {
      "command": "node",
      "args": ["/path/to/website-design-systems-mcp/dist/index.js"]
    }
  }
}

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Available Tools

extract_design_system

Main tool - Extracts complete design system and generates a comprehensive skill.md file.

Input: { "url": "https://stripe.com" }
Output: Complete skill.md with colors, typography, spacing, and more

validate_url

Quick check if a URL is accessible before extraction.

Input: { "url": "https://example.com" }
Output: { "accessible": true, "statusCode": 200, "contentType": "text/html" }

get_site_colors

Extract only the color palette.

Input: { "url": "https://example.com" }
Output: JSON with primary, secondary, and neutral colors

get_site_typography

Extract only typography information.

Input: { "url": "https://example.com" }
Output: JSON with fonts, type scale, and text styles

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Output Format

The generated skill.md includes:

• YAML Frontmatter - Metadata for AI consumption
• Brand Identity - Logo, favicon, tagline
• Color Palette - Organized by usage with hex, RGB, and CSS variables
• Typography - Font families, type scale, line heights
• Spacing System - Tokens from xs to 4xl
• Border Radius - All radius tokens
• Shadows - Box shadow definitions
• Layout - Container width, breakpoints, grid
• CSS Variables - All custom properties

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Development

# Clone the repository
git clone https://github.com/Kargatharaakash/website-design-systems-mcp.git
cd website-design-systems-mcp

# Install dependencies
npm install

# Build
npm run build

# Run in development
npm run dev

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How It Works

1. HTTP Fetch - Fetches the page with browser-like headers to avoid blocking
2. HTML Parsing - Uses Cheerio to parse HTML and extract style sources
3. CSS Extraction - Collects inline styles, <style> tags, and external stylesheets
4. Token Analysis - Analyzes CSS to extract colors, typography, spacing patterns
5. Skill Generation - Compiles everything into a structured skill.md file

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Limitations

• JavaScript-Rendered Content - May not capture styles from JS-only rendered sites
• Aggressive Bot Protection - Some sites with Cloudflare/etc. may block requests
• Login-Required Content - Cannot access authenticated pages

For most public websites, the extraction works excellently.

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Contributing

See CONTRIBUTING.md for guidelines.

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License

MIT License - see LICENSE for details.

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Acknowledgments

• Model Context Protocol by Anthropic
• Cheerio for HTML parsing
• css for CSS parsing