Web Scout
An MCP server for web search and content extraction using DuckDuckGo.
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 WEB_SCOUT_DISABLE_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 stringmaxResults(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
# Clone the repository
git clone https://github.com/pinkpixel-dev/web-scout-mcp.git
cd web-scout-mcp
# Install dependencies
npm install
# Build
npm run build
# Run
npm start
📚 Documentation
For more detailed information about the project, check out these resources:
- OVERVIEW.md - Technical overview and architecture
- CONTRIBUTING.md - Guidelines for contributors
- CHANGELOG.md - Version history and changes
📋 Requirements
- Node.js >= 18.0.0
- npm or yarn
📄 License
This project is licensed under the Apache 2.0 License.
Made with ❤️ by Pink Pixel
✨ Dream it, Pixel it ✨
관련 서버
Bright Data
스폰서Discover, extract, and interact with the web - one interface powering automated access across the public internet.
News MCP Server
Real-time news aggregation from AP, BBC, NPR, Hacker News, and Google News
Claimify
Extracts factual claims from text using the Claimify methodology. Requires an OpenAI API key.
Xpoz MCP
Social Media Intelligence for AI Agents
Playwright Server
Automate web browsers and perform web scraping tasks using the Playwright framework.
youtube-summarize
MCP server that fetches YouTube video transcripts and summarizes them using your LLM client
Google News Trends MCP
Access Google News and Google Trends data without paid APIs.
JinaAI Reader
Extracts web content using the Jina.ai Reader API.
Puppeteer Vision
Scrape webpages and convert them to markdown using Puppeteer. Features AI-driven interaction capabilities.
YouTube Transcript MCP Server
A high-performance MCP server for fetching YouTube video transcripts, with support for caching, rate limiting, and proxy rotation.
yt-dlp
Download video and audio content from various websites like YouTube, Facebook, and Tiktok using yt-dlp.