django-admin-mcp and django-ai-boost
These are complementary tools: django-ai-boost provides general AI enhancement capabilities for Django applications, while django-admin-mcp specifically exposes Django admin functionality to MCP clients, allowing them to be used together to give AI assistants both broad application context and direct admin operation capabilities.
About django-admin-mcp
7tg/django-admin-mcp
Expose Django admin models to MCP (Model Context Protocol) clients. Add a mixin to your ModelAdmin classes and let AI assistants like Claude perform CRUD operations, execute admin actions, and explore relationships—all respecting Django's permission system.
Implements an HTTP-based MCP server using Pydantic for schema validation and field introspection, allowing AI clients to interact with Django models through automatically generated tools that respect the admin's permission and filtering configuration. The architecture exposes CRUD operations, admin actions, bulk operations, and relationship traversal—each tied to Django's permission framework via Bearer token authentication. Supports Django 3.2 through 5.x with zero external dependencies beyond Django and Pydantic.
About django-ai-boost
vintasoftware/django-ai-boost
A MCP server for Django applications, inspired by Laravel Boost.
This tool helps Django web developers collaborate with AI coding assistants more effectively. It allows an AI assistant to understand the structure of a Django project, including models, URLs, database schema, and settings. By providing this context, the AI can offer more accurate and relevant code suggestions, debug assistance, and general project navigation help. Django developers who use AI coding tools like GitHub Copilot or Claude Code would benefit from this.
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