by southleft · MCP Server · ★ 162
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Design Systems MCP Server An AI-powered Model Context Protocol (MCP) server providing intelligent access to authoritative design systems knowledge. Powered by Supabase vector search with 188+ curated entries including W3C standards, WCAG guidelines, and design system best practices. 🌐 Live Demo: https://design-systems-mcp.southleft.com/ Features Core Capabilities 🎯 Production Vector Search - Supabase pgvector with OpenAI embeddings for semantic understanding 📚 188+ Curated Entries - W3C standards, WCAG 2.2, ARIA practices, and 10+ major design systems 🔍 Hybrid Search Architecture - Combines vector similarity with keyword matching (0.15 threshold) 🚀 Edge-Optimized - Cloudflare Workers deployment with global distribution Latest Updates ⚡ Streaming Responses - Chat answers stream token-by-token via SSE; first content appears in seconds 🏠 Refreshed Landing Page - Hero, MCP endpoint with one-click copy, and a "What's inside" overview 🛡️ Source Reliability Badges - Every answer flags Primary / Authoritative / Reference / Example / Community sources ✨ 188+ Curated Entries - W3C, WCAG 2.2, ARIA APG, and 10+ major design systems 🔧 Production Vector Search - Supabase pgvector with...
| Stars | 162 |
| Forks | 19 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 41.2/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-28 |
| Created | 2025-06-25 |
| Platforms | mcp, node |
| Est. Tokens | ~4648k |
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design-systems-mcp is I'm your specialized design systems assistant. Ask me about components, tokens, patterns, and best practices.. It is categorized as a MCP Server with 162 GitHub stars.
design-systems-mcp is primarily written in TypeScript. It covers topics such as ai, design-systems, mcp.
You can find installation instructions and usage details in the design-systems-mcp GitHub repository at github.com/southleft/design-systems-mcp. The project has 162 stars and 19 forks, indicating an active community.
The top alternatives to design-systems-mcp on Agent Skills Hub include design-system-ops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.