What problem does it solve? Troubleshooting Unity games often requires manually digging through console logs, setting breakpoints, and interpreting profiler data, which slows down identifying runtime errors and performance bottlenecks. ## Core Features & Use Cases - AI-Assisted Console Analysis: Connect unity-mcp so an AI client can read Unity console logs, inspect scene hierarchies, and suggest fixes for runtime errors. - Breakpoint and Component Debugging: Set up Visual Studio or Rider debugging with assertions and breakpoints to inspect component state, input values, and movement calculations. - Performance Monitoring: Generate debug scripts that log draw calls, triangles, and batches, and use the Frame Debugger and Deep Profiling to analyze the rendering pipeline. - Use Case: When a player movement bug appears, ask the AI to check the Unity console for errors, generate a monitoring script via unity-mcp, and analyze profiler data to locate the bottleneck. ## Quick Start Ask the AI to check the Unity console for errors and create a debug script for the player movement issue using unity-mcp.