ai.smithery/pinkpixel-dev-web-scout-mcp MCP Server
ai.smithery/pinkpixel-dev-web-scout-mcp
Search the web with DuckDuckGo and extract clean text from multiple URLs simultaneously.
What is the ai.smithery/pinkpixel-dev-web-scout-mcp MCP server?
The Web Scout MCP server enables AI agents to search the web using DuckDuckGo and extract clean, readable content from webpages. It supports parallel processing of multiple URLs with built-in rate limiting and memory optimization to prevent crashes.
Web Scout provides two core capabilities: privacy-focused web search via DuckDuckGo and intelligent content extraction that strips away scripts, styles, and navigation to deliver readable text. Use it to research topics, gather information from multiple sources at once, or feed webpage content into AI analysis workflows.
How to install ai.smithery/pinkpixel-dev-web-scout-mcp
Copy-paste configuration for popular MCP clients.
AuthorizationrequiredsecretBearer token for Smithery authentication
Tools & capabilities
Tools this server exposes to the agent.
DuckDuckGoWebSearch— Initiates a web search query using DuckDuckGo and returns a structured list of results with titles, URLs, and snippets. Accepts a search query string and optional maxResults parameter (default: 10).UrlContentExtractor— Fetches and extracts clean, readable content from web pages by removing scripts, styles, and navigation elements. Accepts either a single URL string or an array of URL strings for parallel processing.
Use cases
- Research topics by searching the web and extracting full article text from multiple sources
- Gather competitive intelligence by fetching and analyzing content from competitor websites
- Fact-check claims by searching for relevant information and extracting source material
- Build knowledge bases by bulk-extracting content from multiple URLs simultaneously
- Monitor web content by periodically searching for and extracting updates on specific topics
ai.smithery/pinkpixel-dev-web-scout-mcp MCP server FAQ
Web Scout is an MCP server that combines DuckDuckGo web search with intelligent content extraction. It lets AI agents search the web and pull clean, readable text from webpages, with support for processing multiple URLs in parallel.
Yes, Web Scout is open-source under the Apache 2.0 License and uses DuckDuckGo for search, which is free and privacy-focused.
Run: npx -y @smithery/cli install @pinkpixel-dev/web-scout-mcp --client claude. Alternatively, add the server to your Claude Desktop config.json with the npx command.
Yes, the UrlContentExtractor tool accepts either a single URL string or an array of URL strings and processes them in parallel with smart memory management.
Node.js >= 18.0.0 and npm or yarn. The server runs as an MCP server and can be installed globally or locally via npm.
No, Web Scout uses DuckDuckGo which does not require API keys, and webpage extraction works without authentication.
README (reference)
Source of truth, from the repository.
✨ 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.
<p align="center"> <sub>Made with ❤️ by <a href="https://pinkpixel.dev">Pink Pixel</a></sub> <br> <sub>✨ Dream it, Pixel it ✨</sub> </p>Related MCP servers
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