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  1. Home
  2. 📂 Browser Automation
  3. ReftrixMCP
ReftrixMCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 8:18:19 PM

ReftrixMCP

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View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

MCP server for web design analysis with tools for layout extraction, motion detection, quality scoring, and semantic search.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for TKMD/ReftrixMCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives📂 More in Browser Automation

Overview

This server analyzes web pages to extract structured design data including layout sections, grids, typography, and UI parts. It detects CSS/JS animations and scores design quality on originality, craftsmanship, and contextuality. It supports semantic and image similarity search using vector embeddings and integrates vision models for richer understanding. Use it to build AI agents or tools that analyze, compare, or retrieve reusable UI patterns from real websites.

Use cases

•Extract structured layout and UI components from web pages
•Detect and analyze web page animations and motion patterns
•Score and evaluate web design quality across multiple criteria
•Perform semantic and visual similarity searches on design patterns
•Profile user design preferences to personalize search results

Key features

•Layout analysis with section detection and code generation (React/Vue/HTML)
•Motion detection via CSS static analysis and frame capture
•Quality evaluation with anti-AI-cliche scoring
•Semantic search using pgvector HNSW and hybrid reranking
•UI part extraction with DINOv2 visual embeddings
•Integration with Ollama llama3.2-vision for enhanced design understanding

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by ReftrixMCP.

Extracted Tool Capabilities
Layout analysis with section detection and code generation (React/Vue/HTML)
Motion detection via CSS static analysis and frame capture
Quality evaluation with anti-AI-cliche scoring
Semantic search using pgvector HNSW and hybrid reranking
UI part extraction with DINOv2 visual embeddings
Integration with Ollama llama3.2-vision for enhanced design understanding

Documentation Overview

ReftrixMCP

Web design knowledge base platform -- layout analysis, motion detection, and quality evaluation via MCP tools.

For frontend engineers, designers, and AI-agent builders who want to analyze real websites and retrieve reusable UI patterns via Claude or any MCP client.

License: AGPL-3.0-only TypeScript PostgreSQL MCP pnpm

ReftrixMCP MCP server
Japanese / 日本語の概要

ReftrixMCPは、Webデザインパターンをベクトル検索(pgvector HNSW)と RAGで検索可能なナレッジベースに集約し、MCPツール経由でClaude等の AIエージェントと統合するプラットフォームです。

主要機能: レイアウト分析 / モーション検出 / 品質評価 / セマンティック検索 / 横断検索 / 画像類似検索 / レスポンシブ解析 / 嗜好プロファイリング / パーツ分析 / レート制限 / 検索キャッシュ / BullMQ UI / SBOM

40のMCPツールを提供: Layout(5) / Motion(2) / Quality(1) / Page(4) / Narrative(1) / Background(1) / Responsive(2) / Preference(3) / Part(3) / Style(1) / Brief(1) / System(1) / Search(2) / Design(5) / Data(2) / Audit(1) / Embedding(1) / Accessibility(1) / Performance(1) / Report(1)

詳細な日本語ドキュメント: docs/README.ja.md

What it does

  • Layout analysis -- auto-detect sections (hero, feature, CTA, etc.), extract grid/typography, and generate React/Vue/HTML code
  • Motion detection -- discover CSS/JS animations with frame capture (15 px/frame video mode), CLS detection via Pixelmatch
  • Quality evaluation -- score designs on three axes (originality, craftsmanship, contextuality) with anti-AI-cliche detection
  • Semantic search -- find layout, motion, narrative, background, and responsive patterns via pgvector HNSW hybrid search
  • Preference profiling -- learn user design preferences through feedback sessions and personalize search results via reranking (GDPR-compliant)
  • Part-level analysis -- extract 16 UI part types (button, icon, heading, etc.) with DINOv2 visual embeddings for visual similarity search
  • Vision integration -- Ollama llama3.2-vision for richer layout, motion, and narrative understanding
  • Section post-processing -- auto merge/split sections by type, heading, and height (Rule 1-4) for optimal structure
  • Multi-tile capture -- split large sections (>viewport height) into tiles for complete DINOv2 visual coverage
  • Blank image detection -- detect lazy-loading unrendered sections and re-capture via Playwright for full coverage
  • Code generation -- convert analyzed sections to React, Vue, or plain HTML with matched motion patterns
  • Unified search -- cross-service search across layout, part, motion, background, and narrative patterns in a single query
  • Image similarity search -- find visually similar designs via DINOv2 embeddings from Base64/URL input (RRF 3-source)
  • Rate limiting -- Token Bucket + Redis Lua (CWE-770 DoS prevention), 3-tier (analysis 10 RPM / search 120 RPM / default 60 RPM)
  • Search cache -- LRU in-memory cache (lru-cache v11) with TTL-based natural expiry (5 min)
  • BullMQ UI -- Bull Board dashboard for monitoring async page.analyze jobs (port 21080)
  • SBOM -- CycloneDX 1.6 auto-generation for EU CRA vulnerability reporting compliance

Why ReftrixMCP

Layout-awareSections, grids, and typography extracted as structured data -- not just screenshots
Motion-awareCSS static analysis + frame-by-frame video capture for real animation behavior
Quality-awareThree-axis scoring with actionable improvement suggestions
Searchable768-dim multilingual embeddings (e5-base) with HNSW index and hybrid RRF ranking
Preference-awareUser preference profiling with feedback-driven reranking across all search tools
Part-aware16 UI part types extracted with DINOv2 visual embeddings for cross-site component comparison
MCP-native40 tools purpose-built for Claude Desktop and MCP Client CLI

Quickstart

Run page.analyze on any URL in under 5 minutes.

Prerequisites

Node.js 20+, pnpm 10+, Docker & Docker Compose, Ollama

Setup

bash
git clone https://github.com/TKMD/ReftrixMCP.git && cd ReftrixMCP
pnpm install                                     # CUDA skip is default; see GPU note below
cp .env.example .env.local                       # edit DATABASE_URL / REDIS_URL as needed
cp .env.local packages/database/.env             # Prisma CLI requires this copy
pnpm docker:up                                   # PostgreSQL 18 + pgvector + Redis
pnpm db:migrate && pnpm db:seed
pnpm build
pnpm exec playwright install chromium            # browser for page crawling
pnpm --filter @reftrixmcp/ml download:dinov2        # DINOv2 visual embedding model (~330 MB)
pnpm --filter @reftrixmcp/ml repair:e5-cache --check # (optional) verify multilingual-e5-base ONNX cache (~1.1 GB) integrity
curl -fsSL https://ollama.com/install.sh | sh    # install Ollama
ollama pull llama3.2-vision                      # vision model (~7.9 GB)
ollama serve                                     # keep running in a separate terminal

Note: If you change .env.local, also update packages/database/.env. page.analyze workers are auto-forked by WorkerSupervisor when the MCP server starts (v0.4.0 PR7d-2+). Manual start via pnpm --filter @reftrixmcp/mcp-server worker:start:page is developer-only and requires REFTRIX_ALLOW_MANUAL_WORKER=true to bypass the Redis-based dual-run guard if the MCP server is also running. See Getting Started for GPU configuration and details.

GPU / CUDA: CUDA binary download is skipped by default (CPU fallback). For GPU acceleration setup, see Troubleshooting: CUDA Detection.

pnpm "Ignored build scripts": On pnpm install, pnpm 10 prints Ignored build scripts: @prisma/client, esbuild, sharp, ... and suggests Run "pnpm approve-builds". This is expected, not an error — pnpm 10 blocks dependency build/lifecycle scripts by default as a supply-chain safeguard. Setup still completes because sharp and esbuild ship prebuilt binaries, and the Prisma client is generated by the @reftrixmcp/database workspace package's own postinstall (prisma generate) during pnpm install — a workspace lifecycle script, which pnpm does not gate behind the dependency build-script allowlist. Only run pnpm approve-builds if you have a specific reason to let one of these blocked dependencies run its own native build step (onnxruntime-node is already allow-listed via pnpm.onlyBuiltDependencies, so it never appears in the ignored list; and CUDA acceleration is a separate opt-in — see the GPU / CUDA note above — not pnpm approve-builds).

Connect to Claude

Add to your MCP config:

  • Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
  • MCP Client CLI: .mcp.json in the project root or ~/.claude/.mcp.json
config.json
{
  "mcpServers": {
    "reftrix": {
      "command": "node",
      "args": ["/absolute/path/to/ReftrixMCP/apps/mcp-server/dist/index.js"],
      "env": {
        "NODE_ENV": "development",
        "DATABASE_URL": "postgresql://reftrix:change_me@localhost:26432/reftrix?schema=public",
        "REDIS_URL": "redis://localhost:27379",
        "OLLAMA_BASE_URL": "http://localhost:11434",
        "OLLAMA_HOST": "http://localhost:11434",
        "ENABLE_SECTION_SCREENSHOT_FALLBACK": "true"
      }
    }
  }
}

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
6d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about ReftrixMCP

Node.js 20+, pnpm 10+, Docker with Docker Compose, and Ollama vision model are required.

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Technical Specs & Signals

Category📂Browser Automation
More technical detailsExpand ▾
Last updatedSep 6, 2026
9/10 checks healthy over the last 33d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit6d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 6, 2026
44Quality signal: Fair · 44/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity5/15
Community engagement0/10

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