🦁 Brave Browser MCP Server

A powerful Model Context Protocol (MCP) server that gives AI agents full control over your Brave Browser. Unlike standard automation, this server is optimized for local LLMs (like Qwen3.5 27B) to ensure low latency and high reliability.

⚡ Quick Setup

1. Install dependencies

pip install mcp[cli] playwright
playwright install chromium

Note: Even though we use Brave, Playwright needs its driver components to control it.

2. Add to Claude Desktop (or your MCP Host)

Edit your claude_desktop_config.json:

{
  "mcpServers": {
    "brave-browser": {
      "command": "python",
      "args": ["C:/PATH/TO/MCP-Brave-Browser/server.py"]
    }
  }
}

Related MCP server: OpenChrome

🔧 Optimized Tools (27)

Speed & Discovery (VITAL for Local Models)

Navigation

Page Interaction

🚀 Performance Tips (Context & Compute)

If you are using a local 4B-9B model, full page snapshots can be slow. Use these strategies to make it lightning fast:

1. Filter Noise: Use snapshot(interactive_only=True). This strips out div, section, and nav containers, returning only the interactive elements. It usually reduces context size by 70%.

2. Scope your Search: Use snapshot(selector="#main-content") to only see a specific part of the page.

3. Use Summaries First: Instead of taking a snapshot immediately, call page_summary() to understand where you are.

4. Targeted Discovery: Use find_elements(query="Login") if you just need to find one specific button.

⚙️ Configuration

📦 Dependencies

• mcp[cli] — FastMCP framework

• playwright — High-speed browser automation engine

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.