"Brave" matching MCP servers:

Enables Brave Search and web content fetching via MCP, and integrates as LangChain tools for AI agents.

Enables web and local search capabilities using the Brave Search API, allowing users to perform general web searches and find local businesses with ratings, hours, and contact info.

Facilitates integration of Brave Search functionalities with AI assistants through the Model Context Protocol, enabling web and local searches using the Brave Search API.

Gives AI agents full control over Brave Browser, optimized for local LLMs to ensure low latency and high reliability.

Integrates the Brave Search API into AI assistants to enable web and local business search capabilities. This allows models to perform real-time information retrieval and locate places using the Model Context Protocol.

Enables advanced web search across multiple search engines (Brave, DuckDuckGo, Google, Bing, Yandex) with intelligent backend selection, full content extraction, and advanced filtering by time, language, geography, and content type.

Web search for AI agents across 6 engines (Serper, Brave, Exa, Tavily, Firecrawl, Perplexity) through one search tool. Routes each query to the cheapest engine that clears a quality bar and caches repeats. Hosted, streamable-HTTP, BYOK supported.

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.

Enables keyless multi-engine web, news, image, and video metasearch plus full-page markdown extraction for AI agents over MCP, with resilient fallback across DuckDuckGo, Bing, Brave, Google, and other backends.

Enables AI agents to search the web, fetch pages, and download images through a self-hosted proxy with Brave search, caching, and SSRF protection.

Enables Codex to control a local Brave or Chrome browser via CDP, observing pages and performing actions such as clicking, typing, selecting, scrolling, or waiting through validated action IDs without requiring a model API key.

Enables AI agents to run research queries across multiple public sources (Hacker News, Reddit, GitHub, Brave Search) in parallel, returning normalized results.

Enables querying rare-variant, gene-based association results across ~1.2M individuals from 10 global biobanks, supporting phenome-wide scans, replication screens across ancestries, and candidate list evaluation for 44 harmonized traits.

Enables access to and searching of browser history from major browsers (Brave, Chrome, Firefox, Safari, Edge, Arc, Opera, DuckDuckGo) to personalize LLM interactions and retrieve past browsing data through natural language queries.

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.

Exposes the astrodynamics capabilities of the Brahe library enabling language models to perform space situational awareness and astrodynamics calculations.

Enables AI models to fetch text content from URLs, extract links from web pages, and search the web using Brave Search with automatic content retrieval from top results. Provides comprehensive web scraping and search capabilities with robust error handling.

Standalone MCP server exposing only the security-classified tools from Shade Browser, enabling Brave CDP browser automation across 20 isolated profile slots. Built on FastMCP and Playwright Python.

A server based on the MCP protocol that uses the Brave API for web search functionality.

Bridges coding agents such as Claude Code and Hermes to Brave Leo AI over the Model Context Protocol, letting the agent delegate execution to reduce token usage. Enables skills like refactoring, debugging, planning, and web search through Brave AI.