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.
Intelligence Aeternum (Fluora MCP)
AI training dataset marketplace — 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. x402 USDC micropayments on Base L2. First monetized art/provenance MCP server. Research-backed: dense metadata improves VLM capability by +25.5% (DOI: 10.5281/zenodo.18667735)
Playwright MCP
Browser automation using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots.
WebSearch
An advanced web search and content extraction tool powered by the Firecrawl API for web scraping and analysis.
Genius MCP Server
An MCP server to interact with the genius.com API and collect song information, annotations, artist data, etc.
YouTube
Fetch YouTube subtitles
HTML to Markdown MCP
Fetch web pages and convert HTML to clean, formatted Markdown. Handles large pages with automatic file saving to bypass token limits.
MCP Browser Agent
A browser automation agent using the Model Context Protocol (MCP) to enable browser interactions.
LinkedIn MCP
Scrape LinkedIn profiles and companies, get recommended jobs, and perform job searches.
SteadyFetch
Reliable web fetching for AI agents with retry, circuit breaker, caching, and anti-bot bypass
freesound-mcp
A Model Context Protocol (MCP) server that enables AI applications to search and download audio resources from the Freesound platform via natural language commands.