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Django Shell

joshuadavidthomasbyjoshuadavidthomas
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16
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Database Management
Developer Tools

Enables AI assistants to execute Python code within a persistent Django shell session.

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Designed for AI assistants, this tool provides a Model Context Protocol (MCP) server that establishes a stateful Django shell. It allows AI assistants to interact directly with a Django project, maintaining session state for variables and imports across calls. This facilitates iterative exploration of models, testing queries, and debugging within the Django environment, offering full shell access in a controlled development setting for AI-driven tasks.

Key Features

01Executes Python code in your Django environment via a single `django_shell` tool
02Optimized for Large Language Models (LLMs) that understand Python
03Requires zero configuration, seamlessly integrating with Django projects
04Maintains persistent session state for imports and variables between calls
059 GitHub stars
06Provides a `django_reset` tool to clear the session when needed

Use Cases

01Testing database queries and ORM operations directly from an AI interface
02Debugging issues within a Django project by allowing AI to execute and observe code
03Exploring Django models and project structure interactively with an AI assistant