Enables AI assistants to search the internet using DuckDuckGo and extract clean, formatted content from web pages.
Sponsored
Empower your AI assistants with real-time internet access through DuckDuckGo, enabling them to search for and retrieve current information directly from the web. This Model Context Protocol (MCP) server not only performs searches but also intelligently extracts clean, formatted content from web pages, converting HTML into readable Markdown for seamless AI consumption. It includes smart caching and per-domain rate limiting for efficient and responsible data gathering. Users should be aware that it currently supports only static HTML content and necessitates caution regarding prompt injection risks from external web sources.
Key Features
01Per-domain rate limiting to avoid overwhelming servers
02Single unified `search` tool for simplicity
03Extract and convert web content to clean Markdown
040 GitHub stars
05Search the web using DuckDuckGo
06Smart caching (LRU cache with 10-minute TTL)
Use Cases
01Allow AI assistants to answer questions requiring current internet data
02Provide AI models with structured, readable web content for summarization or analysis
03Enable AI agents to perform research tasks with real-time information
