Pinkpixel Dev Web Scout MCP server

Web Scout MCP Server

An MCP server for web search using DuckDuckGo and content extraction, with support for multiple URLs and memory optimizations.

✨ Features

• 🔍 DuckDuckGo Search: Fast and privacy-focused web search capability
• 📄 Content Extraction: Clean, readable text extraction from web pages
• 🚀 Parallel Processing: Support for extracting content from multiple URLs simultaneously
• 💾 Memory Optimization: Smart memory management to prevent application crashes
• ⏱️ Rate Limiting: Intelligent request throttling to avoid API blocks
• 🛡️ Error Handling: Robust error handling for reliable operation

📦 Installation

Installing via Smithery

To install Web Scout for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @pinkpixel-dev/web-scout-mcp --client claude

Global Installation

npm install -g @pinkpixel/web-scout-mcp

Local Installation

npm install @pinkpixel/web-scout-mcp

🚀 Usage

Command Line

After installing globally, run:

web-scout-mcp

With MCP Clients

Add this to your MCP client's config.json (Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "web-scout": {
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/web-scout-mcp@latest"
      ]
    }
  }
}

Environment Variables

Set the WEBSCOUTDISABLE_AUTOSTART=1 environment variable when embedding the package and calling createServer() yourself. By default running the published entrypoint (for example node dist/index.js or npx @pinkpixel/web-scout-mcp) automatically bootstraps the stdio transport.

🧰 Tools

The server provides the following MCP tools:

🔍 DuckDuckGoWebSearch

Initiates a web search query using the DuckDuckGo search engine and returns a well-structured list of findings.

Input:

• query (string): The search query string
• maxResults (number, optional): Maximum number of results to return (default: 10)

Example:

{
  "query": "latest advancements in AI",
  "maxResults": 5
}

Output: A formatted list of search results with titles, URLs, and snippets.

📄 UrlContentExtractor

Fetches and extracts clean, readable content from web pages by removing unnecessary elements like scripts, styles, and navigation.

Input:

• url: Either a single URL string or an array of URL strings

Example (single URL):

{
  "url": "https://example.com/article"
}

Example (multiple URLs):

{
  "url": [
    "https://example.com/article1",
    "https://example.com/article2"
  ]
}

Output: Extracted text content from the specified URL(s).

🛠️ Development

Shortened. The full README is on GitHub.