PC Manager
by LUMIARCH9
README.md
# PC Manager
**AI-powered PC management system with 80+ MCP tools for Cursor, Claude, and other AI agents.**
PC Manager bridges the gap between AI and your operating system. It provides a comprehensive REST API, a web dashboard, and an MCP (Model Context Protocol) server that gives AI agents full control over your Windows PC.
---
## Features
### System Monitoring
- Real-time CPU, memory, disk, and network monitoring
- Live charts with usage history
- System information and uptime tracking
### File Management
- Browse, create, rename, move, copy, delete files and folders
- Built-in file viewer and editor
- Drive listing with usage info
### Process & Service Control
- List, filter, and kill processes
- Start, stop, restart Windows services
- Process memory and CPU tracking
### Network
- Interface listing with IP addresses
- Active connection monitoring
- Traffic statistics
- Ping, DNS resolve, port scan, Wake-on-LAN
### Shell
- Execute PowerShell commands remotely via web UI or API
- Command history with arrow key navigation
### Power Management
- Lock, sleep, restart, shutdown with confirmation
- Power plan and battery status
### Programs & Environment
- List installed programs and startup items
- View and edit environment variables
- PATH analysis with existence checks
### Task Scheduler
- List and run scheduled tasks
### Registry
- Read and write Windows registry values
### Security & Admin
- API key authentication
- Danger level system (LOW / MEDIUM / HIGH / CRITICAL)
- Action logging and audit history
- Admin Bridge for elevated privilege execution
### Hardware & Sensors
- GPU info (NVIDIA)
- Disk health (SMART)
- USB devices, Bluetooth, printers
- Camera capture, microphone recording
### Screen & GUI Control
- Screenshot capture
- Mouse click and move
- Keyboard input
- Window management (list, focus)
- Clipboard read/write
### Docker & Package Management
- Docker container management
- Winget package search and install
- WiFi network listing and connection
### Email Integration
- IMAP/SMTP email access (Naver, Gmail, etc.)
- Read, search, send, delete emails
- Folder listing
### AI Agent
- Natural language to API translation
- OpenAI Function Calling compatible schema
- Chat interface in web dashboard
---
## Architecture
```
+------------------+ +------------------+ +------------------+
| Web Dashboard | | AI Agents | | External Apps |
| (localhost:7777)| | (Cursor/Claude) | | (GPT/Gemini) |
+--------+---------+ +--------+---------+ +--------+---------+
| | |
| REST API (/api/*) | MCP Protocol |
+------------+------------+----------+-------------+
| |
+-------v-------+ +-------v-------+
| Flask App | | MCP Server |
| (app.py) | |(mcp_server.py)|
+-------+-------+ +-------+-------+
| |
+-------v-----------------------v-------+
| Core Modules |
| system | files | processes | network |
| shell | power | registry | docker |
| screen | senses | email | admin |
+---------------------------------------+
| Windows OS (PowerShell) |
+---------------------------------------+
```
---
## Quick Start
### Prerequisites
- Windows 10/11
- Python 3.11+
- pip
### Installation
```bash
# Clone the repository
git clone https://github.com/yourusername/pc-manager.git
cd pc-manager
# Install dependencies
pip install -r requirements.txt
# Run the web dashboard
python app.py
```
Open `http://localhost:7777` in your browser.
### MCP Server Setup (Cursor / Claude Desktop)
1. Add to your MCP configuration:
```json
{
"mcpServers": {
"pc-manager": {
"command": "python",
"args": ["path/to/pc-manager/mcp_server.py"]
}
}
}
```
2. Restart Cursor or Claude Desktop
3. You now have 80+ tools available to your AI agent
### Email Setup (Optional)
1. Copy the example config:
```bash
cp mail_config.example.json mail_config.json
```
2. Edit `mail_config.json` with your email credentials:
- For Naver Mail: Enable IMAP in settings, generate an app password
- For Gmail: Enable IMAP, use app-specific password
### Admin Bridge Setup (Optional)
For operations requiring elevated privileges:
```powershell
powershell -ExecutionPolicy Bypass -File admin_bridge/setup_admin_bridge.ps1
```
---
## API Documentation
Once the server is running, visit:
- **Swagger UI**: `http://localhost:7777/api/docs`
- **OpenAI Schema**: `http://localhost:7777/api/agent/openai-schema`
### API Endpoints Overview
| Category | Endpoint | Description |
|----------|----------|-------------|
| System | `/api/system/*` | System info, stats, uptime |
| Files | `/api/files/*` | File operations |
| Processes | `/api/processes/*` | Process management |
| Services | `/api/services/*` | Service control |
| Network | `/api/network/*` | Network monitoring |
| Disk | `/api/disk/*` | Disk analysis |
| Shell | `/api/shell/*` | Command execution |
| Power | `/api/power/*` | Power management |
| Programs | `/api/programs/*` | Installed programs |
| Environment | `/api/env/*` | Environment variables |
| Scheduler | `/api/scheduler/*` | Task scheduler |
| Registry | `/api/registry/*` | Registry operations |
| Docker | `/api/docker/*` | Container management |
| Screen | `/api/screen/*` | Screenshot, GUI control |
| Hardware | `/api/hardware/*` | GPU, USB, Bluetooth |
| Admin | `/api/admin/*` | Elevated execution |
---
## MCP Tools (80+)
When connected via MCP, AI agents can use tools including:
| Tool | Description |
|------|-------------|
| `get_system_info` | Get OS, CPU, memory details |
| `get_system_stats` | Real-time CPU/memory/disk usage |
| `list_files` | Browse directory contents |
| `read_file` / `write_file` | Read and write files |
| `search_files` | Search by filename |
| `list_processes` / `kill_process` | Process management |
| `list_services` / `control_service` | Service management |
| `execute_command` | Run PowerShell commands |
| `take_screenshot` | Capture screen |
| `mouse_click` / `keyboard_type` | GUI automation |
| `mail_list` / `mail_send` | Email operations |
| `docker_containers` | Docker management |
| `ping_host` / `port_scan` | Network diagnostics |
| `power_action` | Lock, sleep, restart, shutdown |
| ... and 60+ more | |
---
## Project Structure
```
pc-manager/
├── app.py # Flask entry point
├── config.py # Configuration
├── mcp_server.py # MCP server (80+ tools)
├── requirements.txt # Python dependencies
├── api/ # REST API modules
│ ├── system.py # System info & stats
│ ├── files.py # File management
│ ├── processes.py # Process management
│ ├── services.py # Service control
│ ├── network.py # Network monitoring
│ ├── disk.py # Disk analysis
│ ├── shell.py # Shell execution
│ ├── power.py # Power management
│ ├── agent.py # AI agent bridge
│ └── ... # 15+ more modules
├── core/ # Core utilities
│ ├── security.py # Authentication
│ ├── history.py # Action logging
│ └── admin_bridge.py # Elevated execution
├── admin_bridge/ # Admin elevation scripts
├── static/ # Frontend assets
│ ├── css/style.css
│ └── js/app.js
├── templates/
│ └── index.html # Web dashboard
└── .cursor/
└── mcp.json # MCP configuration
```
---
## Security Notice
- The API runs on `localhost` only by default
- All operations are authenticated via API key
- Dangerous operations (kill process, shutdown, delete) require confirmation
- Action history is logged for auditing
- **Do not expose this server to the public internet without additional security measures**
---
## Tech Stack
- **Backend**: Python, Flask, Flask-RESTX, psutil
- **Frontend**: Vanilla JS, Chart.js, Lucide Icons, Inter Font
- **AI Integration**: MCP (Model Context Protocol), OpenAI Function Calling
- **System**: PowerShell, Windows API, pyautogui
---
## License
MIT License - see [LICENSE](LICENSE) for details.
---
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
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