"Django" matching MCP servers:

Enables developers to analyze Django projects for risky code patterns such as cascade delete impact, N+1 queries, unsafe migrations, and unscoped tenant reads through MCP tools and a CLI.

Static-analysis MCP server for Django models. 5 read-only tools for AI coding agents.

A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.

Exposes Django runtime information (settings, apps, URLs, models, migrations) as MCP resources for AI agents to inspect a live Django project without static analysis.

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.

A unified MCP server for scaffolding project structures across multiple frameworks including Spring Boot, React, Vue, Next.js, FastAPI, Django, Flask, Express, and more.

A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.

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.

An MCP server designed to automate Django database setup and management, including PostgreSQL database creation and extension configuration. It enables users to update environment files and execute Django management commands through integrated tools like VS Code Copilot.

Enables AI-powered translation of Django gettext .po files while intelligently preserving variables, HTML tags, URLs, and JavaScript code with validation and automated updates.

Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.

Persistent daemon that compresses codebases via AST body folding before indexing them for AI coding assistants like Claude Code and Cursor 57-89% token reduction with sub-millisecond queries, verified on Django, Spring, and Next.js.

Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.

Enables an AI agent to manage an academy's Django backend over local stdio, including listing students and teachers, creating accounts and courses, enrolling students, creating assignments, and recording attendance, plus reading JSON resources for students, teachers, and courses.

MCP server providing IP address lookup capabilities. Enables AI assistants to fetch details about public IP addresses or the user's current device IP.

Enables AI assistants to analyze a Django + JavaScript project's code wiring, report connected, unresolved, unused, and uncertain findings, explain symbols with evidence, and record triage decisions over stdin/stdout without network.

Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.