DuckDuckGo Search
Integrates with DuckDuckGo to provide web search capabilities, content fetching, and parsing, with results formatted for large lan
This MCP server implementation provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing. Developed by Nick Clyde, it offers tools for performing web searches and retrieving webpage content, with built-in rate limiting and error handling. The server is designed to format results specifically for large language model consumption, making it particularly useful for AI applications that require up-to-date web information. It includes features like intelligent text extraction, comprehensive error logging, and LLM-friendly output formatting. The implementation is built using Python and integrates with the Model Context Protocol, focusing on ease of use within the Claude Desktop environment.
Source
Repository: https://github.com/nickclyde/duckduckgo-mcp-server
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