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 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 querying the DuckDuckGo Instant Answer API through the Model Context Protocol, allowing users to perform searches and retrieve instant answers.
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.
A minimal, production-ready MCP server enabling LLMs to perform web searches via DuckDuckGo without API keys, supporting SSE streaming and LM Studio compatibility.
Enables web searching through DuckDuckGo and fetching content from webpages. Provides search capabilities with configurable result limits and webpage content extraction for AI assistants.
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 integration with DuckDuckGo search capabilities for LLMs, supporting comprehensive web search, regional filtering, result types, and safe browsing with caching and customizable search parameters.