Link Server

MCP server for extracting UI, text, screenshots, and requirements from public links (including Axure prototypes). Designed specifically to empower AI coding assistants (like Cursor) with frontend context.

Features

• Screenshot Capture: Automatically takes full-page screenshots of the provided link.
• Frontend Analysis: Generates structured Markdown reports tailored for frontend development:
  • Inferred States (React/Vue state variables)
  • Components & Interactions
  • API Integration needs
  • Change Points (mapping annotations to DOM elements)
• DOM Extraction: Extracts visible text blocks and image URLs.
• Axure Support: Specially optimized for Axure share links to extract marker annotations and requirement changes.
• Works with MCP: Fully compatible with Model Context Protocol clients (Cursor, Claude Desktop, etc.) via stdio.

Requirements

• Node.js >= 18
• npm >= 9

Quick Start

npm install
npx playwright install chromium
npm run build
npm start

MCP Tools

1) analyze_link_for_frontend

Analyze a public link (like Axure) for frontend development. Returns a screenshot and a frontend-focused markdown analysis.

Input:

{
  "url": "https://vscn2w.axshare.com/?id=ul0dre&p=3_5%E9%9C%80%E6%B1%82%E6%9B%B4%E6%96%B0&sc=3"
}

Output: Returns two blocks to the AI client:

1. An image block containing the full-page screenshot.
2. A text block containing the Markdown analysis report.

2) link_health

Health check of runtime.

Use in Cursor

Add to MCP config:

{
  "mcpServers": {
    "link-mcp-server": {
      "command": "npx",
      "args": ["-y", "link-mcp-server"]
    }
  }
}

Publish to npm

npm login
npm publish --access public