Sponsored by Deepsite.site

MCP Webscan Server

Created By
bsmi021a year ago
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.
Content

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

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Playwright McpPlaywright MCP server
WindsurfThe new purpose-built IDE to harness magic
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Tavily Mcp
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
CursorThe AI Code Editor
DeepChatYour AI Partner on Desktop
Amap Maps高德地图官方 MCP Server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
ChatWiseThe second fastest AI chatbot™
Serper MCP ServerA Serper MCP Server
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.