"DuckDuckGo Search Engine" matching MCP servers:

Provides web and news search via DuckDuckGo with support for region filtering, time ranges, and token optimization for AI assistants.

Provides unified web search across multiple providers (Google, Tavily, DuckDuckGo, Brave) with automatic fallback, maximizing free API quota usage for AI workflows.

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.

A server that provides DuckDuckGo search capabilities (text, image, news, video search and AI chat) through the Model Context Protocol.

Enables querying DuckDuckGo Instant Answer API for search results.

Enables querying the DuckDuckGo Instant Answer API through the Model Context Protocol, allowing users to perform searches and retrieve instant answers.

A tiny RAG-lite retrieval engine that indexes files on disk and provides semantic search via MCP, returning relevant text chunks (file, line, score) without generating answers.

Multi-engine aggregated search MCP server that combines results from 7 search engines with deduplication, relevance ranking, and web page content extraction.

🔍 High-Availability Multi-Engine Search Aggregation MCP Server - Intelligent Failover, Unified API, LLM-Optimized Content Processing.

An MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.

Enables AI agents to search the web via DuckDuckGo and fetch relevant webpage content using an LLM, without requiring an API key.

Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.

A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.

Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.

Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.

MCP server for Doubao Search that enables real web search in any MCP client, backed by ByteDance-exclusive Chinese sources and the open web.

Codebase intelligence and context engine for AI coding agents: search, symbol lookup, impact analysis, and context building via MCP.

Universal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.

Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.