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" }
}
}
}获取产品更新、构建者故事,以及帮助您更快交付的新功能抢先体验。
CreateOS 是一个统一的智能工作空间,让创意从概念到上线部署无缝衔接,消除工具、基础设施和工作流之间的上下文切换,并可在 CreateOS 市场上即时实现创意变现。