link-mcp-server
Enables AI coding assistants to extract screenshots, DOM content, and structured frontend analysis from public links, including Axure prototypes.
README
link-mcp-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:
- An
imageblock containing the full-page screenshot. - A
textblock 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
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