Web Scout MCP Server
@pinkpixel-dev
A powerful MCP server extension providing web search and content extraction capabilities. Integrates DuckDuckGo search functionality and URL content extraction into your MCP environment, enabling AI assistants to search the web and extract webpage content programmatically.
Overview
What is Web Scout MCP Server?
Web Scout MCP Server is an MCP server that provides web search via DuckDuckGo and clean text extraction from web pages, with support for parallel processing and memory optimizations. It is designed for developers using MCP-compatible clients such as Claude Desktop or Cursor.
How to use Web Scout MCP Server?
Install globally (npm install -g @pinkpixel/web-scout-mcp) and run the web-scout-mcp command, or add the package to your MCP client’s config.json with npx -y @pinkpixel/web-scout-mcp@latest. Set WEB_SCOUT_DISABLE_AUTOSTART=1 if embedding the package programmatically.
Key features of Web Scout MCP Server
- DuckDuckGo search with privacy‑focused results
- Clean text extraction from web pages
- Parallel processing of multiple URLs simultaneously
- Smart memory management to prevent crashes
- Rate limiting to avoid API blocks
- Robust error handling for reliable operation
Use cases of Web Scout MCP Server
- Searching the web for up‑to‑date information through an MCP client
- Extracting article or documentation content from one or more URLs
- Automating research workflows that combine search results with page content
- Building AI assistants that need structured, readable web data
FAQ from Web Scout MCP Server
What are the system requirements for Web Scout MCP Server?
Node.js version 18.0.0 or higher and npm or yarn are required.
How can I install Web Scout MCP Server automatically for Claude Desktop?
Use the Smithery CLI: npx -y @smithery/cli install @pinkpixel-dev/web-scout-mcp --client claude
What search engine does Web Scout MCP Server use?
It uses DuckDuckGo for privacy‑focused web search.
What tools does Web Scout MCP Server provide?
It provides DuckDuckGoWebSearch (with query and optional maxResults) and UrlContentExtractor (accepting a single URL or an array of URLs).
How does the server handle rate limiting and memory?
The server includes intelligent request throttling and smart memory management to prevent crashes and API blocks.
