Deploy Django with MCP
Deploy Django apps directly from your AI assistant using Model Context Protocol. Zero config. AI-managed environments. Instant rollback.
Why MCP for Django?
Zero-Config Deploy
Your AI detects Django automatically and configures the build pipeline. No config files to write.
AI-Managed Env Vars
Set environment variables with natural language. The AI handles secrets, database URLs, and API keys.
Instant Rollback
Something wrong? Tell your AI to roll back. Previous versions are always one sentence away.
Deploy Django in 4 Steps
Connect Repository
The AI detects Django, identifies manage.py and wsgi.py, and configures gunicorn.
Deploy my Django app from github.com/me/my-django-app
Database & Migrations
Provision a managed database, inject DATABASE_URL, and run Django migrations automatically.
Create a PostgreSQL database and run migrations
Static Files & Deploy
The AI runs collectstatic, configures whitenoise or CDN, and deploys with gunicorn.
Collect static files and deploy to production
Create Superuser
Access the Django admin at /admin, view deployment logs, and monitor performance.
Show me the admin URL and deployment logs
Environment & Database
AI-Configured Env Vars
Your AI auto-configures these environment variables for Django:
DATABASE_URLSECRET_KEYALLOWED_HOSTSDEBUGSTATIC_URLRecommended Database
For Django apps, we recommend PostgreSQL. Provision it with one sentence:
> Create a PostgreSQL database and inject the connection string into my Django app
Compatible AI Tools
Deploy Django with MCP from any of these AI tools:
Frequently Asked Questions
Try It Now
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" }
}
}
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