Groq MCP Integration

Guide for integrating Groq models with PraisonAI agents using MCP

Add Groq Tool to AI Agent

Diagram

Quick Start

Set API Key
Set your Groq API key as an environment variable in your terminal:
bash
```
export GROQ_API_KEY=your_groq_api_key_here
```

Create a file

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

python

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")

Install Dependencies
Make sure you have Node.js installed, as the MCP server requires it:
bash
```
pip install "praisonaiagents[llm]"
```
Run the Agent
Execute your script:
bash
```
python groq_airbnb.py
```

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.