Enables privacy-focused web search queries through DuckDuckGo's search engine, returning structured search results with titles, URLs, and snippets, along with the ability to extract clean, readable content from resulting web pages.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Web Scout MCP Serversearch for recent breakthroughs in quantum computing and extract content from the top 3 results"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
✨ 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:
Global Installation
Local Installation
🚀 Usage
Command Line
After installing globally, run:
With MCP Clients
Add this to your MCP client's config.json (Claude Desktop, Cursor, etc.):
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:
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):
Example (multiple URLs):
Output: Extracted text content from the specified URL(s).
🛠️ Development
📚 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.