Content
# 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.
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