Deploy Flask apps directly from your AI assistant using Model Context Protocol. Zero config. AI-managed environments. Instant rollback.
Your AI detects Flask 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 Flask, identifies the app factory or module, and configures gunicorn.
Deploy my Flask app from github.com/me/my-flask-app
Configure production settings, database connections, and secrets through natural language.
Set FLASK_ENV=production and configure DATABASE_URL
CreateOS deploys Flask with gunicorn, handling process management and health checks.
Deploy with gunicorn and 2 workers
View real-time logs, monitor performance, and scale your Flask app from chat.
Show logs and scale to handle more traffic
Your AI auto-configures these environment variables for Flask:
DATABASE_URLSECRET_KEYFLASK_ENVREDIS_URLFor Flask apps, we recommend PostgreSQL. Provision it with one sentence:
> Create a PostgreSQL database and inject the connection string into my Flask app
Deploy Flask with MCP from any of these AI tools:
Add the CreateOS MCP endpoint to your AI tool and deploy Flask in seconds:
{
"mcpServers": {
"createos": {
"url": "https://api-createos.nodeops.network/mcp",
"headers": { "X-Api-Key": "YOUR_KEY" }
}
}
}उत्पाद अपडेट, बिल्डर कहानियाँ, और उन सुविधाओं तक पहले पहुँच प्राप्त करें जो आपको तेज़ी से शिप करने में मदद करती हैं।
CreateOS एक एकीकृत बुद्धिमान कार्यक्षेत्र है जहाँ विचार अवधारणा से लाइव डिप्लॉयमेंट तक सहजता से आगे बढ़ते हैं, टूल, इन्फ्रास्ट्रक्चर और वर्कफ़्लो में कॉन्टेक्स्ट-स्विचिंग को समाप्त करते हुए CreateOS मार्केटप्लेस पर तुरंत विचारों को मुद्रीकृत करने का अवसर प्रदान करता है।