@TKMD
基本信息
MCP server with 39 tools for web design analysis — layout extraction, motion detection, quality scoring, accessibility audit, Core Web Vitals, design comparison, and semantic search via Playwright, pgvector, ONNX Runtime, and Ollama.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"reftrix": {
"command": "node",
"args": [
"/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"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
ReftrixMCP is a web design knowledge base platform that provides layout analysis, motion detection, and quality evaluation via MCP tools. It is built for frontend engineers, designers, and AI‑agent builders who want to analyze real websites and retrieve reusable UI patterns through Claude or any MCP client. The system uses PostgreSQL 18 with pgvector for vector search, Redis for caching and job queues, and ONNX Runtime for multilingual and visual embeddings.
Clone the repository, install dependencies with pnpm, set up Docker containers for PostgreSQL and Redis, run database migrations and seed, build the project, install Playwright and download the DINOv2 and e5‑base models, then configure the MCP server in your Claude or MCP client config. Start the server with the command node /path/to/ReftrixMCP/apps/mcp-server/dist/index.js and provide environment variables for database, Redis, and Ollama.
Node.js 20+, pnpm 10+, Docker & Docker Compose, Ollama (configured with llama3.2‑vision), PostgreSQL 18 with pgvector, Redis 7, and Playwright for browser crawling. ML features require onnxruntime‑node (optional dependency).
Preference profiles are stored and can be retrieved, reset, or deleted (GDPR Right to Erasure). Data lives in PostgreSQL and Redis. The system is GDPR‑compliant.
It uses the stdio transport. No HTTP or authentication is described in the README.
The `onnxruntime‑node` package is an optional dependency—ML tools (embedding, visual search) require explicit installation. Non‑ML tools (layout analysis, motion detection) work without it. The server requires a local Ollama instance for vision tasks.
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