Brave Search MCP Integration

Guide for integrating Brave Search capabilities with PraisonAI agents using MCP

Add Brave Search Tool to AI Agent

Diagram

Quick Start

Install Dependencies
Make sure you have Node.js installed, as the MCP server requires it:
bash
```
pip install praisonaiagents mcp
```
Set API Key
Set your Brave Search API key as an environment variable in your terminal:
bash
```
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.

Create a file

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

python

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")

Run the Agent
Execute your script:
bash
```
python brave_search.py
```