"Django" matching MCP servers:

A Django-native MCP application and tool registration framework inspired by Celery, providing async tool definitions, autodiscovery, and stdio/Streamable HTTP serving built on the official MCP Python SDK.

Automatically exposes Django REST Framework endpoints as MCP tools with zero configuration, supporting multiple transports and authentication.

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.

Introspects a Django REST API's OpenAPI schema and exposes each endpoint as an MCP tool, enabling Claude or any MCP client to interact with the API via natural language.

Exposes Django admin's ModelAdmin as MCP tools, with identical permissions, form validation, and session authentication.

Provides AI assistants easy access to Django best practices by splitting comprehensive styleguide documentation into AI-friendly sections accessible through the Model Context Protocol.

A Model Context Protocol service that wraps Django's migration commands as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.

Turns Django models into MCP tools and a REST API from a single class, and can generate a Django project from a MySQL or Postgres schema.

Exposes Django REST Framework API documentation via MCP for AI coding agents to read, understand, and write frontend integration code.

A Django CMS plugin that provides Model Context Protocol (MCP) server functionality, enabling AI assistants like Claude to directly interact with, manage, and create content in your Django CMS installation through natural language.

A fully automated system that analyzes Django REST Framework ViewSets to generate accurate OpenAPI 3.0 specification documentation without manual configuration.

Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.

This project provides a robust integration between AI assistants and FreeCAD CAD software using the Model Context Protocol (MCP). It allows external applications to interact with FreeCAD through a standardized interface, offering multiple connection methods and specialized tools.

Smart Device Control 🎮 💡 Lights: Brightness, color, RGB 🌡️ Climate: Temperature, HVAC, humidity 🚪 Covers: Position and tilt 🔌 Switches: On/off 🚨 Sensors: State monitoring Intelligent Organization 🏠 Grouping with context awareness. Robust Architecture 🛠️ Error handling, state validation ...

Connects Claude AI to any development project (Django, Next.js, Laravel, etc.) with 15+ universal tools for shell, file, git, logs, Docker, tests, and more.