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by nickclyde • Search & Retrieval
A Model Context Protocol (MCP) server that provides DuckDuckGo web search and webpage content fetching/parsing optimized for LLM consumption and Claude/Desktop integration.
Perform web searches and receive cleaned, LLM-friendly result summaries (titles, URLs, snippets).
Fetch and extract readable text from webpages, removing ads and redirects for better context ingestion.
Integrate web search/content capabilities into Claude Desktop or other MCP-compatible clients with rate limiting and error handling.
This MCP server performs DuckDuckGo web searches and fetches/cleans webpage content, returning results formatted for large language models. It includes built-in rate limiting, error handling, and result processing to remove ads and redirects. Installation and integration hooks are provided for Claude Desktop and Smithery, and it aims to make web search and content retrieval safe and LLM-friendly. Useful for agents that need up-to-date web information without dealing with raw HTML or redirect clutter.
Search DuckDuckGo and return formatted results. Args: query: The search query string max_results: Maximum number of results to return (default: 10) ctx: MCP context for logging
Fetch and parse content from a webpage URL. Args: url: The webpage URL to fetch content from ctx: MCP context for logging
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