"DuckDuckGo" matching MCP servers:

A Model Context Protocol server that provides DuckDuckGo search functionality for Claude, enabling web search capabilities through a clean tool interface with rate limiting support.

A Model Context Protocol server that enables AI applications like Claude Desktop and Cursor IDE to perform web searches via DuckDuckGo's search engine.

Enables AI assistants to perform real-time web searches, fetch webpage content, and get search suggestions using DuckDuckGo's privacy-focused search engine.

Brings DuckDuckGo search (web, news, images, videos) to any MCP-compatible AI client without requiring an API key.

Enables comprehensive internet search capabilities through DuckDuckGo, supporting text, images, videos, news, and books search with advanced filtering options and search operators.

Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.

Search API for AI, SEO & automation. Browser-rendered Google, Bing, Yandex, Baidu, DuckDuckGo and Ecosia results with URL extraction (+image search and engine metadata tools)

Enables LLM hosts to run DuckDuckGo searches, scrape JavaScript-rendered and cookie-consent-gated pages with a hardened headless browser, and launch non-blocking same-domain BFS crawls whose progress and extracted content can be polled.

Enables LLMs to research answers using DuckDuckGo web and news search plus Wikipedia, providing up-to-date information and current events.

MCP server for internet search via direct Google and DuckDuckGo HTML scraping with AI-powered result normalization and optional summarization, requiring no API keys for search.

Enables web search via DuckDuckGo and web content fetching through the Model Context Protocol, allowing AI assistants to search and retrieve web page content.

Lightweight MCP server for DuckDuckGo search with HTML fallback, safe webpage fetching, caching, and clean text extraction.

Enables LLMs to run web and academic searches across multiple engines (Baidu, Bing, DuckDuckGo, Tavily, Exa, Doubao and 9 scholarly sources) with local relevance scoring, deduplication and caching, plus SSRF-protected page fetching and PDF parsing, and works without any API key. It plugs into MCP clients like Claude Code, Cursor and Qwen Code, or can be embedded as a Go module.

A high-performance search service that converts results from Google, Bing, and DuckDuckGo into structured JSON or Markdown. It features multi-layer depth crawling and uses the Camoufox anti-detection browser for reliable content extraction and fallback search logic.

Enables AI models to search the web using DuckDuckGo, scrape webpage content in markdown format, and browse/read local files for code analysis and debugging.

A memory server that manages a knowledge graph with entities and relations, supports internet search via DuckDuckGo, and stores dialogue history, enabling persistent memory and web interaction for AI assistants.

Provides web search and page fetching capabilities via Serper.dev or DuckDuckGo, deployable on Render with SSE transport.

A Model Context Protocol server that provides web search capabilities via DuckDuckGo and advanced content extraction using Crawl4AI and LLM-powered analysis. It enables users to perform web-wide searches and fetch processed website data through automated browser interaction and intelligent summarization.

Enables a voice-enabled AI assistant to call 7 built-in MCP tools including calculator, web search (DuckDuckGo), weather (wttr.in), date/time, and local file read/write/list operations, integrating with Gemini 2.0 Flash for tool-calling conversations.

Integrated web search MCP server with multi-engine parallel execution, automatic fallback, BM25 relevance filtering, and content extraction. Supports DuckDuckGo and Naver (news, web, encyclopedia) searches.