Introduction

Welcome to OBTO AI — The Glass Box Platform

OBTO is the first MCP-native platform where AI agents deploy production applications. Instead of writing code in a code editor, committing to Git, and setting up hosting — you describe what you want in a conversation, and the AI builds it, deploys it, and gives you a live URL.

The AI writes it. OBTO ships it. In the same conversation.


The Problem

AI is excellent at writing code. But it has nowhere to put it.

LLMs do 90% of the development work, but they still wait for you to handle the last 10% — the build step, the deploy, the hosting, the database setup. That handoff kills momentum and wastes the most capable developer on your team (the AI).

OBTO eliminates that gap. It's the deployment engine that AI agents plug into.


How It Works

  1. You talk to your AI — Claude, GPT, Codex, or any MCP-compatible model

  2. The AI calls OBTO's MCP tools — creating backend logic, API routes, frontend components, and stylesheets

  3. OBTO deploys everything — to a live URL at yourapp.obto.co

  4. You iterate through conversation — "add dark mode," "change the header color," "add an admin page"

No code editor. No terminal. No hosting setup. Full-stack.


No New UI to Learn

OBTO doesn't force you into a new interface. You connect OBTO's MCP server directly into the chat tools you already use:

AI Client
MCP Support

Claude Web

✅ Native

Claude Desktop

✅ Native

Cursor

✅ Native

VS Code (GitHub Copilot)

✅ Supported

OpenAI Codex

✅ Via MCP

AntiGravity

✅ Native


What Makes OBTO Different

Glass Box, Not Black Box

Every piece of code the AI writes is visible, inspectable, and editable. You can read every server script, every route, every component. Nothing is hidden behind proprietary abstractions.

Not a Wrapper

OBTO is not a thin layer over Vercel, Supabase, or Firebase. It's a complete platform — the database, the backend runtime, the frontend hosting, the deployment pipeline — all in one system. Running in production since 2019.

Open Source Democracy

The OBTO Skill file that teaches AI models how to build on the platform is open source (Apache 2.0). The platform's conventions are documented, transparent, and community-driven.

Radical Price Transparency

No hidden fees. No seat license surprises. No vendor lock-in. You see exactly what you're paying for.


Quick Start

Ready to build your first app? Here's the fastest path:

  1. Sign up at obto.coarrow-up-right — Google auth, instant setup

  2. Copy your MCP endpoint from the landing page

  3. Get the OBTO Skill from GitHubarrow-up-right

  4. Connect your AI client (Claude, Cursor, VS Code, etc.)

  5. Build — describe what you want and watch it deploy

👉 See the full walkthrough in MCP →


What Can You Build?

Anything full-stack:

  • Landing pages — Business sites, portfolios, event pages

  • Web apps — Dashboards, CRMs, internal tools

  • APIs — REST endpoints with database-backed logic

  • Games — Interactive browser games

  • Full-stack apps — Frontend + backend + database, deployed together


Next Steps

Page
What You'll Learn

MCP

What MCP is and how OBTO uses it

MCP Tools - OOB

Every tool available out of the box

Create Tool

How to build your own MCP tools

Dev Zone

Your development workspace

App Preview

Preview apps before publishing

Publish App

Go live with a public URL

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