"A search engine called Brave Search" matching MCP servers:

An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.

Enables Brave Search via MCP, deployed on Railway for seamless integration with AI agents.

MCP server for web search using the Brave Search API, supporting filters for freshness, language, country, and safe search.

Integrates Brave Search API to provide web, local, video, image, news, summarizer, place search, and LLM context capabilities through MCP.

Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.

Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

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

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

The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.

MCP server for searching Chinese academic literature from CNKI Space, returning metadata such as title, authors, year, and links, and retrieving abstracts and degree details. Enables agents to query CNKI without an account.

Federated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.

A multi-engine web search MCP server that integrates with coding agents, offering parallel search, page fetching, X/Twitter search, deep research, and configurable free/API layers.

CLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.

Provides DuckDuckGo web search through MCP with automatic failover across multiple backends, enabling reliable query results even when individual backends are rate-limited or blocked.

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

Wraps the local agy CLI into an MCP server to provide a web_search tool that enables Claude Code to perform real internet searches through Gemini/Google.

A semantic search system for Claude Code transcript history, exposed as an MCP server so Claude Code can query its own past sessions.

Enables running web searches across multiple engines like Google, Bing, DuckDuckGo, Yahoo! JAPAN, and Brave via Playwright, with tools to fetch page content and manage browser profiles.

Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.