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nickclyde/duckduckgo-mcp-server

⭐ 1481 Python added to this list on 2025-05-14 repository created 2025-02-22

DuckDuckGo MCP Server is a Model Context Protocol (MCP) server designed to provide optimized web search and content fetching capabilities through DuckDuckGo, specifically tailored for large language model (LLM) consumption and integration with Claude Desktop. The server offers advanced features such as web search with rate limiting, content fetching with intelligent text extraction, and result formatting optimized for LLMs. It supports up to 30 search requests and 20 content fetch requests per minute, with automatic queue management to handle rate limits gracefully. The server removes ads and irrelevant content, cleans DuckDuckGo redirect URLs, and truncates long content to ensure the output is concise and relevant for LLMs. It also includes comprehensive error handling and detailed logging to maintain robustness and reliability. Installation can be done via Smithery or directly from PyPI using the uv package manager. The server integrates seamlessly with Claude Desktop by configuring the MCP server settings, allowing Claude to utilize DuckDuckGo search and content fetching capabilities. For development, the MCP CLI can be used to run and test the server locally. The server exposes two main tools: a Search Tool that performs web searches on DuckDuckGo and returns formatted results including titles, URLs, and snippets; and a Content Fetching Tool that retrieves and parses webpage content, returning cleaned and formatted text. These tools are designed to provide LLMs with high-quality, relevant information from the web in a structured and accessible format. Overall, DuckDuckGo MCP Server enhances the ability of large language models to access and utilize up-to-date web information efficiently and effectively, making it a valuable component for applications requiring real-time web data integration.

https://github.com/nickclyde/duckduckgo-mcp-server

claude-desktopclaude-desktop-integrationcontent-fetchingcontent-fetching-toolcontent-parsingduckduckgoerror-handlinglarge-language-modellarge-language-modelsllmllm-friendly-outputmcp-climcp-servermit-licensemodel-context-protocolopen-sourcepythonrate-limitingresult-formattingsearch-toolsmitherytext-extractionweb-search

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