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" }
}
}
}제품 업데이트, 빌더 스토리, 더 빠르게 출시할 수 있는 기능에 대한 얼리 액세스를 받아보세요.
CreateOS는 아이디어가 컨셉에서 라이브 배포까지 원활하게 이동하는 통합 지능형 워크스페이스입니다. 도구, 인프라, 워크플로 간의 컨텍스트 전환을 제거하고 CreateOS 마켓플레이스에서 즉시 아이디어를 수익화할 수 있습니다.