Scout Monitoring's local MCP server empowers AI Assistants by integrating application performance and error data directly into their workflows. It allows AI models to access traces, errors with line-of-code information, and performance insights like N+1 queries, slow endpoints, and memory bloat from various frameworks including Rails, Django, and FastAPI. This direct data access enables AI Assistants to identify and suggest fixes for performance problems and errors right within your editor and codebase, significantly enhancing development efficiency and reducing debugging time.