iflow-mcp_brave-search-mcp

# Brave Search MCP Server [](https://smithery.ai/server/@arben-adm/brave-mcp-search) This project implements a Model Context Protocol (MCP) server for Brave Search, allowing integration with AI assistants like Claude. ## Prerequisites - Python 3.11+ - [uv](https://github.com/astral-sh/uv) - A fast Python package installer and resolver ## Installation ### Installing via Smithery To install Brave Search MCP server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@arben-adm/brave-mcp-search): ```bash 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: ```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 …