Quick Start
Floci Studio is a local AWS emulator cockpit. You get a full-featured GUI, an AWS-compatible API endpoint on :4566, and an MCP server your AI agent can drive — all running on your machine, at zero cost.
Prerequisites
Section titled “Prerequisites”- Docker Desktop or Docker Engine + Compose v2
- Git
That’s it. No AWS account. No Python. No Node.js required just to run.
1. Clone the repo
Section titled “1. Clone the repo”git clone https://github.com/pmaojo/floci-studiocd floci-studio2. Start the stack
Section titled “2. Start the stack”docker compose upThis starts three containers:
- floci-engine — the AWS emulator, exposed on
:4566 - floci-sidecar — the FastAPI backend, exposed on
:8000 - floci-studio — the React UI, exposed on
:3000
First run pulls images and takes ~60 seconds. Subsequent starts are under 5 seconds.
3. Open the console
Section titled “3. Open the console”Navigate to http://localhost:3000 in your browser.
You’ll see the floci cockpit. The event stream at the bottom turns green when the emulator is reachable.
4. Create your first resource
Section titled “4. Create your first resource”Click SQS in the sidebar, then Create Queue. Name it my-queue and click Create. Your queue is now live on the local AWS endpoint.
What’s next
Section titled “What’s next”- Installation guide — full prerequisites, building from source, MCP setup
- SQS guide — send and receive messages
- MCP server — connect Claude or Cursor to drive the stack