A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
Enables web searches through DuckDuckGo with customizable parameters like region, safe search, and time limits. Provides structured search results, recent search resources, and research planning prompts for comprehensive information gathering.
Enables web search through DuckDuckGo and webpage content fetching with intelligent text extraction. Features built-in rate limiting and LLM-optimized result formatting for seamless integration with language models.
Enables web searching through DuckDuckGo and fetching content from webpages. Provides search capabilities with configurable result limits and webpage content extraction for AI assistants.
A privacy-friendly MCP server that enables web searches and URL content extraction using DuckDuckGo, allowing AI assistants to access real-time web information without API keys.
A free and unlimited web search server that enables AI models to search, crawl, and research web content using DuckDuckGo without requiring API keys. It features parallel crawling and a smart ranking system to prioritize the most relevant information for complex queries.
Enables AI assistants to perform real-time web searches, fetch webpage content, and get search suggestions using DuckDuckGo's privacy-focused search engine.
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
Enables advanced web search across multiple search engines (Brave, DuckDuckGo, Google, Bing, Yandex) with intelligent backend selection, full content extraction, and advanced filtering by time, language, geography, and content type.
Enables discovering public LinkedIn profiles via natural-language criteria, using DuckDuckGo search snippets to return a ranked shortlist with match reasoning, without logging into LinkedIn.