MCP Cursor

Enhance your development workflow with AI-powered MCP tools and extensions for Cursor IDE.

Product

  • MCP Servers
  • Getting Started
  • Documentation
  • Open Source

Resources

  • MCP Specification
  • Cursor IDE
  • MCP GitHub
  • Contributing

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
Made withfor the developer community
© 2026 MCP Cursor. All rights reserved.
MCP Logo
MCP Cursor
IntroductionMCPs
IntroductionMCPs
3D MCP Cursor Visualization
  1. Home
  2. Servers
  3. Web Content Extractor MCP
Web Content Extractor MCP Logo

Web Content Extractor MCP

Model Context Protocol Integration

Overview

Extracts and processes web content using TypeScript, Cheerio, and Turndown for tasks like scraping, summarization, and data transformation.

Web Content Extractor

Extracts and processes web content using TypeScript, Cheerio, and Turndown for tasks like scraping, summarization, and data transformation.

Installation Instructions


README: https://github.com/bsmi021/mcp-server-webscan

MseeP.ai Security Assessment Badge

MCP Webscan Server

smithery badge

A Model Context Protocol (MCP) server for web content scanning and analysis. This server provides tools for fetching, analyzing, and extracting information from web pages.

Webscan Server MCP server

Features

  • Page Fetching: Convert web pages to Markdown for easy analysis
  • Link Extraction: Extract and analyze links from web pages
  • Site Crawling: Recursively crawl websites to discover content
  • Link Checking: Identify broken links on web pages
  • Pattern Matching: Find URLs matching specific patterns
  • Sitemap Generation: Generate XML sitemaps for websites

Installation

Installing via Smithery

To install Webscan for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-server-webscan --client claude

Manual Installation

# Clone the repository
git clone <repository-url>
cd mcp-server-webscan

# Install dependencies
npm install

# Build the project
npm run build

Usage

Starting the Server

npm start

The server runs on stdio transport, making it compatible with MCP clients like Claude Desktop.

Available Tools

  1. fetch-page

    • Fetches a web page and converts it to Markdown.
    • Parameters:
      • url (required): URL of the page to fetch.
      • selector (optional): CSS selector to target specific content.
  2. extract-links

    • Extracts all links from a web page with their text.
    • Parameters:
      • url (required): URL of the page to analyze.
      • baseUrl (optional): Base URL to filter links.
      • limit (optional, default: 100): Maximum number of links to return.
  3. crawl-site

    • Recursively crawls a website up to a specified depth.
    • Parameters:
      • url (required): Starting URL to crawl.
      • maxDepth (optional, default: 2): Maximum crawl depth (0-5).
  4. check-links

    • Checks for broken links on a page.
    • Parameters:
      • url (required): URL to check links for.
  5. find-patterns

    • Finds URLs matching a specific pattern.
    • Parameters:
      • url (required): URL to search in.
      • pattern (required): JavaScript-compatible regex pattern to match URLs against.
  6. generate-site-map

    • Generates a simple XML sitemap by crawling.
    • Parameters:
      • url (required): Root URL for sitemap crawl.
      • maxDepth (optional, default: 2): Maximum crawl depth for discovering URLs (0-5).
      • limit (optional, default: 1000): Maximum number of URLs to include in the sitemap.

Example Usage with Claude Desktop

  1. Configure the server in your Claude Desktop settings:
{
  "mcpServers": {
    "webscan": {
      "command": "node",
      "args": ["path/to/mcp-server-webscan/build/index.js"], // Corrected path
      "env": {
        "NODE_ENV": "development",
        "LOG_LEVEL": "info" // Example: Set log level via env var
      }
    }
  }
}
  1. Use the tools in your conversations:
Could you fetch the content from https://example.com and convert it to Markdown?

Development

Prerequisites

  • Node.js >= 18
  • npm

Project Structure (Post-Refactor)

mcp-server-webscan/
├── src/
│   ├── config/
│   │   └── ConfigurationManager.ts
│   ├── services/
│   │   ├── CheckLinksService.ts
│   │   ├── CrawlSiteService.ts
│   │   ├── ExtractLinksService.ts
│   │   ├── FetchPageService.ts
│   │   ├── FindPatternsService.ts
│   │   ├── GenerateSitemapService.ts
│   │   └── index.ts
│   ├── tools/
│   │   ├── checkLinksTool.ts
│   │   ├── checkLinksToolParams.ts
│   │   ├── crawlSiteTool.ts
│   │   ├── crawlSiteToolParams.ts
│   │   ├── extractLinksTool.ts
│   │   ├── extractLinksToolParams.ts
│   │   ├── fetchPageTool.ts
│   │   ├── fetchPageToolParams.ts
│   │   ├── findPatterns.ts
│   │   ├── findPatternsToolParams.ts
│   │   ├── generateSitemapTool.ts
│   │   ├── generateSitemapToolParams.ts
│   │   └── index.ts
│   ├── types/
│   │   ├── checkLinksTypes.ts
│   │   ├── crawlSiteTypes.ts
│   │   ├── extractLinksTypes.ts
│   │   ├── fetchPageTypes.ts
│   │   ├── findPatternsTypes.ts
│   │   ├── generateSitemapTypes.ts
│   │   └── index.ts
│   ├── utils/
│   │   ├── errors.ts
│   │   ├── index.ts
│   │   ├── logger.ts
│   │   ├── markdownConverter.ts
│   │   └── webUtils.ts
│   ├── initialize.ts
│   └── index.ts    # Main server entry point
├── build/          # Compiled JavaScript (Corrected)
├── node_modules/
├── .clinerules
├── .gitignore
├── Dockerfile
├── LICENSE
├── mcp-consistant-servers-guide.md
├── package.json
├── package-lock.json
├── README.md
├── RFC-2025-001-Refactor.md
├── smithery.yaml
└── tsconfig.json

Building

npm run build

Development Mode

npm run dev

Running evals

The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.

OPENAI_API_KEY=your-key  npx mcp-eval src/evals/evals.ts src/tools/extractLinksTool.ts

Error Handling

The server implements comprehensive error handling:

  • Invalid parameters
  • Network errors
  • Content parsing errors
  • URL validation

All errors are properly formatted according to the MCP specification.

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

MIT License - see the LICENSE file for details

Featured MCPs

Github MCP - Model Context Protocol for Cursor IDE

Github

This server provides integration with Github's issue tracking system through MCP, allowing LLMs to interact with Github issues.

Sequential Thinking MCP - Model Context Protocol for Cursor IDE

Sequential Thinking

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process. Break down complex problems into manageable steps, revise and refine thoughts as understanding deepens, and branch into alternative paths of reasoning.

Puppeteer MCP - Model Context Protocol for Cursor IDE

Puppeteer

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, execute JavaScript, and perform various browser-based operations in a real browser environment.