AI Assistant MCP

AI Assistant MCP

A powerful AI assistant with system monitoring and control capabilities, built with FastAPI and Ollama.

Features

AI Chat Interface

• Interactive chat with AI assistant
• Context-aware conversations
• Support for new chat sessions
• Chat history management

System Monitoring

• Real-time system metrics dashboard
• CPU, memory, disk, and network monitoring
• Process tracking and management
• Resource usage alerts
• Interactive charts and visualizations

System Control

• File system operations
• Process management
• System health checks
• Secure API access

Web Interface

• Modern, responsive design
• Real-time updates
• Easy navigation between features
• User-friendly controls

Setup Instructions

1. Clone the repository:

git clone https://github.com/aldindugolli/Arrodes-2.0.git
cd Arrodes-2.0

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables: Create a .env file with:

SECRET_KEY=your_secret_key_here

5. Start the Ollama service:

ollama serve

6. Run the application:

python run.py

Usage

Web Interface

Access the web interface at http://localhost:8000:

• Chat with the AI assistant
• Monitor system resources
• Manage files and processes
• View system alerts

API Endpoints

Chat

• POST /chat - Send messages to the AI assistant
• GET / - Access the chat interface

System Monitoring

• GET /monitoring - Access the monitoring dashboard
• GET /monitoring/metrics - Get current system metrics
• GET /monitoring/history - Get historical metrics data
• GET /monitoring/alerts - Get system alerts

System Control

• GET /system/files/list/{path} - List directory contents
• GET /system/files/read/{path} - Read file contents
• POST /system/files/write - Write to a file
• GET /system/processes - List running processes
• GET /system/processes/{pid} - Get process details
• DELETE /system/processes/{pid} - Terminate a process

Security

• API key authentication for all endpoints
• Secure file system operations
• Process management safety checks
• Environment variable configuration

Development

Project Structure

src/
├── main.py              # FastAPI application
├── ollama_client.py     # AI integration
├── monitoring.py        # System monitoring
├── system_ops.py        # System operations
├── security.py          # Security utilities
├── config.py           # Configuration
└── templates/          # HTML templates
    ├── index.html      # Chat interface
    └── monitoring.html # Monitoring dashboard

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

MIT License