Brave Search MCP Integration

Guide for integrating Brave Search capabilities with PraisonAI agents using MCP

Add Brave Search Tool to AI Agent

Quick Start

1. Install Dependencies

   Make sure you have Node.js installed, as the MCP server requires it:

   pip install praisonaiagents mcp
   
2. Set API Key

   Set your Brave Search API key as an environment variable in your terminal:

   export BRAVE_API_KEY=your_brave_api_key_here
   export OPENAI_API_KEY=your_openai_api_key_here
   

   You can obtain a Brave Search API key from Brave Search API.

3. Create a file

   Create a new file brave_search.py with the following code:

   from praisonaiagents import Agent, MCP
   import os
   
   # Use the API key from environment or set it directly
   brave_api_key = os.getenv("BRAVE_API_KEY") or "your_brave_api_key_here"
   
   # Use a single string command with environment variables
   search_agent = Agent(
       instructions="""You are a helpful assistant that can search the web for information.
       Use the available tools when relevant to answer user questions.""",
       llm="gpt-4o-mini",
       tools=MCP("npx -y @modelcontextprotocol/server-brave-search", env={"BRAVE_API_KEY": brave_api_key})
   )
   
   search_agent.start("Search more information about AI News")
   
4. Run the Agent

   Execute your script:

   python brave_search.py
   

Requirements

• Python 3.10 or higher
• Node.js installed on your system
• Brave Search API key
• OpenAI API key (for the agent’s LLM)