Deploy FastAPI apps directly from your AI assistant using Model Context Protocol. Zero config. AI-managed environments. Instant rollback.
Your AI detects FastAPI 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 FastAPI, identifies requirements.txt or pyproject.toml, and configures uvicorn.
Deploy my FastAPI app from github.com/me/my-fastapi-app
Provision a managed database. The AI injects DATABASE_URL and configures SQLAlchemy or Tortoise ORM.
Create a PostgreSQL database for my FastAPI app
CreateOS deploys FastAPI with uvicorn, handling process management and auto-restart.
Deploy with 2 uvicorn workers
FastAPI's auto-generated /docs and /redoc endpoints work immediately on your deployed URL.
Show me the live API docs URL
Your AI auto-configures these environment variables for FastAPI:
DATABASE_URLSECRET_KEYOPENAI_API_KEYREDIS_URLFor FastAPI apps, we recommend PostgreSQL. Provision it with one sentence:
> Create a PostgreSQL database and inject the connection string into my FastAPI app
Deploy FastAPI with MCP from any of these AI tools:
Add the CreateOS MCP endpoint to your AI tool and deploy FastAPI in seconds:
{
"mcpServers": {
"createos": {
"url": "https://api-createos.nodeops.network/mcp",
"headers": { "X-Api-Key": "YOUR_KEY" }
}
}
}Get product updates, builder stories, and early access to features that help you ship faster.
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