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TKMD/ReftrixMCP

by Various

MCP server with 39 tools for web design analysis — layout extraction, motion detection, quality scoring, accessibility audit, Core Web Vitals, design comparison, and semantic searc

T

MCP

TKMD/ReftrixMCP

Added 1 June 2026

#accessibility #claude #core-web-vitals #design-analysis #gdpr #layout-analysis #mcp #mcp-server

Overview

An MCP server offering 39 tools for web design analysis. It uses Playwright for browser automation, pgvector for vector search, ONNX Runtime for machine learning inference, and Ollama for local language models. Tools include layout extraction, motion detection, quality scoring, accessibility audit, Core Web Vitals, design comparison, and semantic search.

Best for

Best for
Developers needing automated web design analysis and comparison tools

Use cases

  • Extract layout structure from any webpage
  • Audit accessibility and Core Web Vitals
  • Compare design versions with semantic search

Notes

An MCP server offering 39 tools for web design analysis. It uses Playwright for browser automation, pgvector for vector search, ONNX Runtime for machine learning inference, and Ollama for local language models. Tools include layout extraction, motion detection, quality scoring, accessibility audit, Core Web Vitals, design comparison, and semantic search.

1 stars on GitHub. Last updated 2026-05-06. Licensed AGPL-3.0.

Use cases

  • Extract layout structure from any webpage
  • Audit accessibility and Core Web Vitals
  • Compare design versions with semantic search

Pros

  • Comprehensive set of 39 tools for web design analysis
  • Integrates modern ML and vector search capabilities
  • Open source with TypeScript codebase

Cons

  • Low community adoption (1 star on GitHub)
  • Requires setup of multiple dependencies (Playwright, pgvector, ONNX, Ollama)
  • Complex configuration for non-developer users

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Comprehensive set of 39 tools for web design analysis
  • Integrates modern ML and vector search capabilities
  • Open source with TypeScript codebase

Cons

  • Low community adoption (1 star on GitHub)
  • Requires setup of multiple dependencies (Playwright, pgvector, ONNX, Ollama)
  • Complex configuration for non-developer users
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