NodeOps
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NodeOps

Deploy FastAPI with MCP

Deploy FastAPI apps directly from your AI assistant using Model Context Protocol. Zero config. AI-managed environments. Instant rollback.

Why MCP for FastAPI?

Zero-Config Deploy

Your AI detects FastAPI 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 FastAPI in 4 Steps

1

Connect Repository

The AI detects FastAPI, identifies requirements.txt or pyproject.toml, and configures uvicorn.

Deploy my FastAPI app from github.com/me/my-fastapi-app
2

Provision Database

Provision a managed database. The AI injects DATABASE_URL and configures SQLAlchemy or Tortoise ORM.

Create a PostgreSQL database for my FastAPI app
3

Deploy with Uvicorn

CreateOS deploys FastAPI with uvicorn, handling process management and auto-restart.

Deploy with 2 uvicorn workers
4

Auto-Generated Docs

FastAPI's auto-generated /docs and /redoc endpoints work immediately on your deployed URL.

Show me the live API docs URL

Environment & Database

AI-Configured Env Vars

Your AI auto-configures these environment variables for FastAPI:

DATABASE_URL
SECRET_KEY
OPENAI_API_KEY
REDIS_URL

Recommended Database

For FastAPI apps, we recommend PostgreSQL. Provision it with one sentence:

> Create a PostgreSQL database and inject the connection string into my FastAPI app

Compatible AI Tools

Deploy FastAPI with MCP from any of these AI tools:

IDE

Cursor

Anysphere

CLI

Claude Code

Anthropic

IDE

VS Code

Microsoft

IDE

Windsurf

Codeium

Chat

ChatGPT

OpenAI

Chat

Claude Desktop

Anthropic

Frequently Asked Questions

Yes, CreateOS fully supports async FastAPI with uvicorn. The AI configures the server correctly for async operation.
Yes, deploy FastAPI apps with TensorFlow, PyTorch, or scikit-learn. The AI configures memory limits appropriately for ML workloads.

Try It Now

Add the CreateOS MCP endpoint to your AI tool and deploy FastAPI in seconds:

MCP Configuration
{
  "mcpServers": {
    "createos": {
      "url": "https://api-createos.nodeops.network/mcp",
      "headers": { "X-Api-Key": "YOUR_KEY" }
    }
  }
}
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View standard FastAPI deployment guide

Más de 100,000 constructores. Un solo espacio de trabajo.

Recibe actualizaciones de productos, historias de constructores y acceso anticipado a funciones que te ayudan a lanzar más rápido.

CreateOS es un espacio de trabajo inteligente y unificado donde las ideas pasan sin interrupciones del concepto al despliegue en producción, eliminando el cambio de contexto entre herramientas, infraestructura y flujos de trabajo, con la oportunidad de monetizar ideas de inmediato en el Marketplace de CreateOS.