#django

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.

MCP API server example : where customers can order from a fun dummy restaurant menu, track order status (success/failed), and view order history. Fully RESTful, plug-and-play, and perfect for testing MCP integrations.

Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI