What is Brave Mcp Search

Brave-mcp-search is a Model Context Protocol (MCP) server designed for Brave Search, enabling integration with AI assistants such as Claude.

Use cases

Use cases include enhancing AI assistants with search capabilities, integrating search functionalities into chatbots, and providing intelligent search solutions in customer support applications.

How to use

To use brave-mcp-search, install it via Smithery or manually by cloning the repository, setting up a virtual environment, and configuring your MCP settings file with your Brave API key.

Key features

Key features include fast installation using Smithery, compatibility with Python 3.11+, and the ability to integrate with AI assistants for enhanced search functionalities.

Where to use

Brave-mcp-search can be used in fields requiring AI-driven search capabilities, such as virtual assistants, chatbots, and other AI applications that leverage search functionalities.

Brave Search MCP Server

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:

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

Manual Installation

1. Clone the repository:

   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:

   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:

   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:

   {
     "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:

   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.