An implementation of the Model Context Protocol for Django that enables AI agents to interact with applications by exposing models, logic, and REST Framework APIs as tools.
Enables LLM assistants to explore Django project structure through read-only resources and optionally execute Python code in a stateful Django shell environment. Provides access to project configuration, app details, model information, and interactive development capabilities.
Provides a stateful Django shell environment that allows AI assistants to execute Python code directly against Django projects. Maintains persistent session state between calls, enabling iterative exploration of models, queries, and debugging.
An MCP server that enables the automated creation and scaffolding of Python Django, React, and PHP projects. It provides tools for initializing new project structures and generating Django CRUD components.