# MCP-USE Agent

This repository contains an implementation of an MCP (Model-Context-Protocol) agent using the Groq LLM API.

## Requirements

- Python 3.11 or higher
- Groq API key

## Setup Instructions

### 1. Clone the Repository

```bash
git clone https://github.com/CSU-game-developers/Sinawali-MCP-Server.git
cd MCP-USE
```

### 2. Set Up Virtual Environment

Create and activate a virtual environment:

```bash
# On Windows
python -m venv venv
venv\Scripts\activate

# On macOS/Linux
python3 -m venv venv
source venv/bin/activate
```

### 3. Install Dependencies

Install the required packages:

```bash
pip install -r requirements.txt
```

### 4. Environment Variables

Create a `.env` file in the project root directory and add your Groq API key:

```
GROQ_API_KEY=your_groq_api_key_here
```

Alternatively, you will be prompted to enter your API key when running the application.

### 5. Configuration

Ensure the `airbnb_mcp.json` configuration file is in the project root directory.

## Usage

Run the agent with:

```bash
python agent.py
```

The agent will execute a sample query "Find the best restaurant in San Francisco" by default.

## Troubleshooting

- If you encounter any issues with the Groq API, ensure your API key is correct and has sufficient permissions.
- Make sure your Python version is 3.11 or higher by running `python --version`.
- If you encounter dependency issues, try upgrading pip (`pip install --upgrade pip`) before installing requirements.