# Desktop Access MCP Server - Project Summary

## What We've Built

The Desktop Access MCP Server is a Python-based Model Context Protocol (MCP) server that provides desktop access capabilities to LLM agents, enabling them to see and interact with desktop environments.

## Key Features

### Eyes - Visual Perception
- Full desktop screenshots in PNG or JPEG formats
- Multi-monitor support (capture individual monitors or combined view)
- Configurable quality settings for JPEG compression
- Base64-encoded images ready for LLM consumption

### Hands - Input Control
- Keyboard simulation:
  - Type text with configurable delays
  - Execute key combinations (Ctrl+C, Alt+Tab, etc.)
- Mouse control:
  - Move cursor to precise coordinates
  - Click, double-click, and right-click
  - Scroll vertically
  - Drag from one point to another

### Technical Excellence
- MCP-compliant server implementation
- Cross-platform support (Linux, macOS, Windows)
- CLI interface for testing without an LLM agent
- Extensive logging and error handling
- Comprehensive test suite

## Project Structure

```
desktop-access-mcp-server/
├── desktop_access_mcp_server/     # Main package
│   ├── __init__.py               # Package initialization
│   ├── __main__.py               # MCP server entry point
│   ├── cli.py                    # Command-line interface
│   └── desktop_controller.py     # Core functionality
├── docs/
│   ├── LLM_AGENT_GUIDE.md        # Guide for LLM agents
│   └── TESTING_GUIDE.md          # Testing documentation
├── tests/
│   ├── test_basic.py             # Basic functionality tests
│   ├── test_comprehensive.py     # Comprehensive tests
│   ├── test_screenshot.py        # Screenshot functionality tests
│   ├── test_display_detection.py # Display detection tests
│   ├── test_jpeg.py              # JPEG format tests
│   ├── test_multi_monitor.py     # Multi-monitor tests
│   ├── test_mcp_client.py        # MCP client tests
│   ├── test_all_capabilities.py  # Full capabilities test
│   ├── demo_llm_agent.py         # LLM agent demo
│   ├── run_screenshot_tests.py   # Screenshot test suite
│   └── review_screenshots.py     # Screenshot review tool
├── example_usage.py              # Example usage
├── pyproject.toml                # Package configuration
├── requirements.txt              # Python dependencies
├── README.md                     # Project documentation
└── LICENSE                       # MIT License
```

## How to Deploy

1. Create a GitHub repository named `desktop-access-mcp-server`
2. Add the remote origin:
   ```bash
   git remote add origin https://github.com/YOUR_USERNAME/desktop-access-mcp-server.git
   ```
3. Push the code:
   ```bash
   git branch -M main
   git push -u origin main
   ```

## Usage Examples

### As an MCP Server
```bash
# Start the MCP server
desktop-access-mcp-server
```

### Command Line Interface
```bash
# Take a screenshot
desktop-cli screenshot -o screenshot.png

# Type text
desktop-cli keyboard -t "Hello World" -d 0.1

# Move and click mouse
desktop-cli mouse move -x 100 -y 200
desktop-cli mouse click
```

### With Python MCP Client
```python
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

server_params = StdioServerParameters(
    command="desktop-access-mcp-server"
)

async with stdio_client(server_params) as (read, write):
    async with ClientSession(read, write) as session:
        # Take a screenshot
        screenshot = await session.call_tool("take_screenshot", {
            "format": "jpeg",
            "quality": 85
        })
```

## Testing

The project includes comprehensive tests:
- Basic functionality tests
- Screenshot capability tests
- Keyboard and mouse input tests
- Multi-monitor support tests
- Full capabilities demonstration

Run tests with:
```bash
python test_basic.py
python test_comprehensive.py
python test_all_capabilities.py
```

## Documentation

- README.md: Main project documentation
- LLM_AGENT_GUIDE.md: Guide for LLM agents
- TESTING_GUIDE.md: Testing documentation
- Inline code comments and docstrings

## License

This project is licensed under the MIT License.