Groq MCP Integration

Guide for integrating Groq models with PraisonAI agents using MCP

Add Groq Tool to AI Agent

Quick Start

1. Set API Key

   Set your Groq API key as an environment variable in your terminal:

   export GROQ_API_KEY=your_groq_api_key_here
   
2. Create a file

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

   from praisonaiagents import Agent, MCP
   
   search_agent = Agent(
       instructions="""You help book apartments on Airbnb.""",
       llm="groq/llama-3.2-90b-vision-preview",
       tools=MCP("npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt")
   )
   
   search_agent.start("MUST USE airbnb_search Tool to Search. Search for Apartments in Paris for 2 nights. 04/28 - 04/30 for 2 adults. All Your Preference")
   
3. Install Dependencies

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

   pip install "praisonaiagents[llm]"
   
4. Run the Agent

   Execute your script:

   python groq_airbnb.py
   

Requirements

• Python 3.10 or higher
• Node.js installed on your system
• Groq API key

Features

Ultra-Fast Inference

Utilize Groq’s high-performance LPU inference for rapid responses.

MCP Integration

Seamless integration with Model Context Protocol.

Airbnb Search

Search for accommodations on Airbnb with natural language queries.

Advanced Models

Access to Llama 3.2 90B and other powerful models.