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Brave Search MCP
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Brave Search MCP

Active·★ 1.5k·MIT·Updated 2026-10-05
★ Most Popular★ Trending★ Essential

The Brave Search MCP Server is Brave's official MCP server for its Search API. It gives AI assistants real-time web search plus several specialised searches: local businesses and places, images, videos, news, an AI summariser, and an LLM-context tool that returns pre-extracted web content designed for grounding answers and RAG pipelines.

It suits anyone who wants an assistant to answer with current information rather than training data, especially when you prefer an independent search index over Google or Bing. Web search supports fine-grained parameters such as country, language, result count, freshness filters, safe search and Goggles for custom re-ranking. Version 2 changed defaults: the server now uses stdio by default (set `BRAVE_MCP_TRANSPORT=http` for HTTP), and image search no longer returns base64 image data, which saves a lot of context.

Getting started: sign up for a Brave Search API account, choose a plan and create an API key, then add the server to your client, for example with Docker (`docker run -i --rm -e BRAVE_API_KEY docker.io/mcp/brave-search`) or via npx, passing the key as `BRAVE_API_KEY`.

#Model Context Protocol#LLM#AI Agents#Reference Servers#SDKs#Web Browsing
$ Install
$ docker run -i --rm -e BRAVE_API_KEY docker.io/mcp/brave-search
↗ Visit site★ GitHub
01

Features

01Real-time web search via Brave Search API with configurable result count and freshness
02Part of the official MCP reference server collection maintained by the MCP steering group
03Supports web search, news search, and local POI search
04Configurable filtering by country, language, and time range
05Free tier available; paid tier for higher rate limits
02

Why choose it

+Official server from Brave, maintained alongside the API.
+Broad set of search tools, including an LLM-context tool built for grounding and RAG.
+Independent search index with detailed filtering and re-ranking options.
+MIT licensed, with Docker and npx setup.
03

Trade-offs

!Requires a Brave Search API key, and some features (extra snippets, full local search) need a Pro plan.
!Version 2 changed the default transport and image results, so update configurations written for 1.x.
!Search results enter the model's context, so treat web content as untrusted input.
04

Compatibility

Claude Desktop
Native
Verified via docs
Cursor
Supported
Verified via docs
05

Quick start

1
$ docker run -i --rm -e BRAVE_API_KEY docker.io/mcp/brave-search
06

Use cases

↳Giving AI agents access to current events, news, and web data beyond training cutoff
↳Building research agents that verify facts with live search results
↳Augmenting any MCP-compatible AI assistant with real-time web search
07

How it compares

≈vs Firecrawl MCP Server: Firecrawl focuses on scraping and crawling pages; Brave focuses on search results and grounding context.
≈vs Exa MCP Server: Exa provides web search and crawling through its own API; Brave adds many specialised search types such as local, news, video and summariser.
≈vs MCP SearXNG: SearXNG is a self-hosted metasearch engine with no API key; Brave is a hosted API with its own index.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 1.5k
Last commit4d ago
StatusActive
LicenseMIT
CategoryMCP Servers
Trend (30d)
+0k↑ 4.9%
Links
Documentation↗Discussion↗Issues↗Releases↗

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