A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
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).
Lightweight MCP server for web scraping, search, and crawling. Uses local trafilatura/DuckDuckGo by default with optional Firecrawl fallback for transport-blocked pages.
Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.
Exposes tools for performing web searches via DuckDuckGo and fetching webpage content as simplified Markdown using crawl4ai. It enables language models to search the internet or specific websites and retrieve cleaned page text for analysis.
Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.
Enables access to news from multiple sources including Google News and DuckDuckGo, supporting queries by location, category, site, date range, and providing top news headlines with detailed information.