link-mcp-server

link-mcp-server

Enables AI coding assistants to extract screenshots, DOM content, and structured frontend analysis from public links, including Axure prototypes.

Category
Visit Server

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:

  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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured