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.
Connection Info
You Might Also Like
markitdown
Python tool for converting files and office documents to Markdown.
Fetch
Retrieve and process content from web pages by converting HTML into markdown format.
oh-my-opencode
Background agents · Curated agents like oracle, librarians, frontend...
chatbox
User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)
continue
Continue is an open-source project for seamless server management.
semantic-kernel
Build and deploy intelligent AI agents with Semantic Kernel's orchestration...