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brave-mcp-search

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13 stars PythonSearch & Data Retrieval Updated Sep 10, 2025

Documentation

Brave Search MCP Server

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This project implements a Model Context Protocol (MCP) server for Brave Search, allowing integration with AI assistants like Claude.

Prerequisites

  • Python 3.11+
  • uv - A fast Python package installer and resolver

Installation

Installing via Smithery

To install Brave Search MCP server for Claude Desktop automatically via Smithery:

bash
npx -y @smithery/cli install @arben-adm/brave-mcp-search --client claude

Manual Installation

1. Clone the repository:

code
git clone https://github.com/your-username/brave-search-mcp.git
   cd brave-search-mcp

2. Create a virtual environment and install dependencies using uv:

code
uv venv
   source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate
   uv pip install -r requirements.txt

3. Set up your Brave Search API key:

code
export BRAVE_API_KEY=your_api_key_here

On Windows, use: `set BRAVE_API_KEY=your_api_key_here`

Usage

1. Configure your MCP settings file (e.g., `claude_desktop_config.json`) to include the Brave Search MCP server:

json
{
     "mcpServers": {
       "brave-search": {
         "command": "uv",
         "args": [
           "--directory",
           "path-to\\mcp-python\\brave-mcp-search\\src",
           "run",
           "server.py"
         ],
         "env": {
           "BRAVE_API_KEY": "YOUR_BRAVE_API_KEY_HERE"
         }
       }
     }
   }

Replace `YOUR_BRAVE_API_KEY_HERE` with your actual Brave API key.

2. Start the Brave Search MCP server by running your MCP-compatible AI assistant with the updated configuration.

3. The server will now be running and ready to accept requests from MCP clients.

4. You can now use the Brave Search functionality in your MCP-compatible AI assistant (like Claude) by invoking the available tools.

Available Tools

The server provides two main tools:

1. `brave_web_search`: Performs a web search using the Brave Search API.

2. `brave_local_search`: Searches for local businesses and places.

Refer to the tool docstrings in `src/server.py` for detailed usage information.

Development

To make changes to the project:

1. Modify the code in the `src` directory as needed.

2. Update the `requirements.txt` file if you add or remove dependencies:

code
uv pip freeze > requirements.txt

3. Restart the server to apply changes.

Troubleshooting

If you encounter any issues:

1. Ensure your Brave API key is correctly set.

2. Check that all dependencies are installed.

3. Verify that you're using a compatible Python version.

4. If you make changes to the code, make sure to restart the server.

License

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

Frequently asked questions

What is brave-mcp-search?

brave-mcp-search is a Model Context Protocol (MCP) server listed in the TrackMCP directory.

How do I install brave-mcp-search?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is brave-mcp-search open source?

Yes — it is hosted on GitHub at https://github.com/arben-adm/brave-mcp-search and has 13 stars.

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