Peggle AI MCP Server

This MCP server allows an AI to play Peggle by capturing the screen and controlling the mouse.

Tools

capture_screen: Captures the primary monitor and returns the image as base64.
click_at(x, y): Moves the mouse to (x, y) and performs a left click.

How to use with LM Studio

Build the server:
```
npm install && npm run build
```
Configure LM Studio:
- Open LM Studio and go to the MCP tab.
- Click Add Server.
- Set the command to node (ensure node is in your PATH).
- Set the arguments to the absolute path of the built index.js, for example: C:\Users\{youruser}\peggle-ai-mcp\dist\index.js
- If needed, you can use the mcp.json already included here and paste in the json contents to your mcp.json for it to work
- Alternatively, use npx:
  - Command: npx
  - Arguments: -y C:\Users\maxwe\Desktop\peggle-ai-mcp
Start Playing:
- Open Peggle (make sure it's on your primary monitor).
- In LM Studio, select a model that supports vision and tools (e.g., Ministral 3B, or any other vision-capable model).
- Ask the AI: "Take a screenshot of Peggle, analyze where the best shot is, and click there."

Implementation Details

Screen Capture: Uses screenshot-desktop.
Mouse Control: Uses PowerShell commands via child_process for cross-platform compatibility on Windows without needing native build tools.
Protocol: Model Context Protocol (MCP).

Note on Windows 11

Ensure that PowerShell execution policy allows running the commands if you encounter issues. The server uses standard PowerShell calls that should work in most default configurations