Brave Search MCP: web and news search from an independent index
Brave's official search MCP server, backed by Brave's own web index: web, news, image, video and place search, plus pre-extracted page text ready for a model.
Project and installation docs
View projecthttps://github.com/brave/brave-search-mcp-server
An agent that needs current information should have a proper search API, not a scraper pointed at a search engine’s result pages. Brave Search MCP is maintained by Brave and sits on Brave’s own web index. Beyond regular search, it has an endpoint built to hand context to a model. It had about 1.5k stars as of 2026-10-06.
What it does
- Several kinds of search:
brave_web_searchwith country, language andfreshnessfilters, plusbrave_news_search,brave_image_searchandbrave_video_search. - Local and places:
brave_local_searchfinds businesses, andbrave_place_searchfinds points of interest by coordinates or place name, with addresses, hours and ratings as structured data. - Context for models:
brave_llm_contextreturns pre-extracted page snippets with caps on total tokens and snippets per URL, a good fit for the retrieval step in RAG. - Summaries: run a web search with
summary: true, then fetch the AI summary withbrave_summarizer. - Remote deployment: besides the default stdio, setting
BRAVE_MCP_TRANSPORT=httpswitches to HTTP transport;BRAVE_MCP_ALLOWED_ORIGINSandBRAVE_MCP_ALLOWED_HOSTSrestrict which origins and hostnames can reach it, guarding against DNS rebinding.
Who it’s for
- Developers who want dependable web search in Claude or Cursor without relying on a model vendor’s built-in search.
- Teams that need a controllable search source inside their own RAG or research agents.
Setup
Needs a Brave Search API key from the Brave developer dashboard, on either the Search plan (full web, news, image and other results plus LLM-ready context) or the Answers plan (a single summarized answer grounded on one or more searches). With Docker:
{
"mcpServers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"docker.io/mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Our take
We list two search APIs, Brave and Exa, because they lean different ways. Brave is a classic keyword index with the widest set of verticals (news, images, places), and goggles let you re-rank results your own way; Exa leans toward finding content by meaning. brave_llm_context means Brave returns usable text, not just links, which saves a fetch step. The catch is cost: it needs a paid API plan, and some features (full local results, extra snippets) are Pro-only. Use BRAVE_MCP_ENABLED_TOOLS to expose only the tools you need and save context; if you switch to HTTP transport for a shared deployment, it binds to 127.0.0.1 by default, so read the origin and host allow-list options before exposing it to a container or the public internet. Licensed MIT.