Deploy Django apps directly from your AI assistant using Model Context Protocol. Zero config. AI-managed environments. Instant rollback.
Your AI detects Django automatically and configures the build pipeline. No config files to write.
Set environment variables with natural language. The AI handles secrets, database URLs, and API keys.
Something wrong? Tell your AI to roll back. Previous versions are always one sentence away.
The AI detects Django, identifies manage.py and wsgi.py, and configures gunicorn.
Deploy my Django app from github.com/me/my-django-app
Provision a managed database, inject DATABASE_URL, and run Django migrations automatically.
Create a PostgreSQL database and run migrations
The AI runs collectstatic, configures whitenoise or CDN, and deploys with gunicorn.
Collect static files and deploy to production
Access the Django admin at /admin, view deployment logs, and monitor performance.
Show me the admin URL and deployment logs
Your AI auto-configures these environment variables for Django:
DATABASE_URLSECRET_KEYALLOWED_HOSTSDEBUGSTATIC_URLFor Django apps, we recommend PostgreSQL. Provision it with one sentence:
> Create a PostgreSQL database and inject the connection string into my Django app
Deploy Django with MCP from any of these AI tools:
Add the CreateOS MCP endpoint to your AI tool and deploy Django in seconds:
{
"mcpServers": {
"createos": {
"url": "https://api-createos.nodeops.network/mcp",
"headers": { "X-Api-Key": "YOUR_KEY" }
}
}
}Recevez les mises à jour produit, les témoignages de créateurs et un accès anticipé aux fonctionnalités qui vous aident à livrer plus vite.
CreateOS est un espace de travail intelligent et unifié où les idées passent sans friction du concept au déploiement en production, éliminant les changements de contexte entre outils, infrastructure et flux de travail, avec la possibilité de monétiser vos idées immédiatement sur le Marketplace CreateOS.