A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
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.
Enables querying the DuckDuckGo Instant Answer API through the Model Context Protocol, allowing users to perform searches and retrieve instant answers.
Enables web search without API keys using DuckDuckGo and Bing search engines, and retrieves webpage content. Supports multiple search engines simultaneously with privacy protection and asynchronous processing.
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.
An MCP server for web content extraction, providing tools to fetch clean text, extract links, query by CSS selector, and search the web via DuckDuckGo.
Enables web searching via DuckDuckGo and page fetching with automatic HTML-to-Markdown conversion to reduce LLM token usage by approximately 60%. It provides tools for search, content extraction, and combined operations without requiring any external API keys.
AI-powered deep research agent with multi-source search (DuckDuckGo, Google News, Reddit, Wikipedia), structured analysis (SWOT, comparisons, timelines, Google Trends), financial data with charts, and PDF report generation. 11 MCP tools. Multi-LLM support (DeepSeek, Gemini, GLM, OpenAI).
Provides unified web search across multiple providers (Google, Tavily, DuckDuckGo, Brave) with automatic fallback, maximizing free API quota usage for AI workflows.