Web search and extraction · MCP server
Brave search MCP server: MCP server, setup and security
Brave search MCP server is an open-source MCP server published on GitHub that lets an AI agent search the web by using the Brave Search API. Its repository has 1,525 stars and its last commit is from October 22, 2026 and it is licensed under MIT.
| Adoption (stars) | 32/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 26/30 |
What Brave search MCP server does
According to its repository: “Web search using Brave's Search API.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Brave search MCP server is listed under Web search and extraction, a category of 159 servers in the directory, where it ranks #10 by stars.
Installing and connecting Brave search MCP server
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx) - remote server (streamable-http): you connect to it by URL, with nothing to install locally
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Brave search MCP server:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on June 12, 2025, the brave/brave-search-mcp-server repository has 1,525 stars and 214 forks, with 24 open issues. It has more stars than 94% of the servers in the directory. It received changes this month. Version published in the registry: 2.1.3 (August 20, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Brave search MCP server is one of the most solid servers in its category: followed, maintained and well framed.
Strengths
- Active project: recent commit
- Widely followed: 1.5K stars
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Limitations
- Requires an API key or token
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Exa MCP server5.2K ★
- Arxiv MCP server3.2K ★
- JobSpy4.6K ★
- SearXNG Search1.3K ★
- Tavily MCP2.5K ★
- MinerU Open MCP229 ★
Learn more
Frequently asked questions
How do I install Brave search MCP server?
Brave search MCP server is distributed as npm package (Node.js, usually started with npx) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of brave/brave-search-mcp-server.
Is Brave search MCP server free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Brave search MCP server safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
It is published in the MCP registry under the verified namespace ai.smithery, which shows the publisher controls that domain.
What are the alternatives to Brave search MCP server?
In the same category: Exa MCP server, Arxiv MCP server, JobSpy, and SearXNG Search.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score