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obto-inc

OBTO


What is OBTO?

OBTO is a full-stack deployment platform built for the age of AI agents. Connect it to Claude, GPT, Codex, or any MCP-compatible model. Describe what you want in plain language. The AI writes the code, provisions the database, and deploys your application to a live URL — all in the same conversation.

No code editor. No terminal. No hosting setup. Full-stack. Not a wrapper over Vercel and Supabase — real backend, real infrastructure, one platform.

OBTO has been running in production since 2019.


Quick Start

1. Sign Up

Go to obto.co and click Sign in. Authenticate with Google. Your OBTO instance is created automatically.

2. Copy Your MCP Endpoint

After signing in, you'll see your personal MCP server URL on the landing page. Copy it.

3. Teach Your AI Client — plugin or skill file

Install the plugin (recommended where supported). This repository is itself the plugin marketplace — one URL, nothing else to configure:

Claude Code / Claude Cowork

/plugin marketplace add obto-inc/platform
/plugin install obto@obto

Installs the OBTO MCP server connection plus six task skills (build loop, deploys & large files, media upload, memory, MCP extension, troubleshooting). Details: plugins/obto.

OpenAI Codex — clone this repository, then codex plugin marketplace add "/path/to/platform" and install OBTO. The Codex package is plugins/obto-codex.

Use the skill files directly (every other harness). The skills are plain-markdown SKILL.md folders — portable to any agent harness that reads skills or instruction files:

Client

What to use

Claude Desktop

Add SKILL.md to your project's knowledge or attach as a file

Cursor

Place SKILL.md in your workspace root or .cursor/skills/

VS Code (Copilot)

Place SKILL.md in your workspace root

AntiGravity

Place SKILL.md in your workspace's .agent/skills/ directory

OpenCode & other agent harnesses

Copy the plugins/obto/skills/ folders into your harness's skills directory, or use the single-file SKILL.md

4. Connect to Your AI Client

Add your MCP server URL to your AI client's MCP configuration:

Claude Desktop — Go to Settings → MCP Servers → Add your OBTO endpoint URL. Claude will redirect you to authenticate via OAuth. Approve it.

Claude Web — In a project, add the MCP server URL. Authorize when prompted.

Cursor / VS Code — Add the MCP server configuration to your settings.

5. Build

Type what you want. The AI handles the rest.

"Build me a landing page for my coffee shop with a menu, gallery, and contact form."

Your app will be live at yourapp.obto.co.


What Does the Skill File Do?

The SKILL.md file is a set of instructions that teaches AI models how to build and deploy applications on OBTO. It covers:

  • Platform architecture — How OBTO stores code as database artifacts (no filesystem)

  • Deployment order — Backend first, frontend last

  • Collection types — Pages, JavaScript modules, stylesheets, routes, server scripts

  • The xe. pattern — How backend services call each other

  • MCP tool routing — Which tool to use for each operation

  • Full-stack examples — Complete contact form deployment walkthrough

Without this skill file, the AI won't know OBTO's conventions and will produce code that doesn't deploy correctly. With it, the AI becomes an autonomous developer on your OBTO instance.

Where your client supports plugins (Claude Code, Claude Cowork, Codex), prefer the plugin — the same doctrine split into six auto-loading task skills, with the MCP connection preconfigured.


Supported AI Clients

Client

MCP Support

Status

Claude Code / Claude Cowork

✅ Native plugin

Fully supported (plugin + skills)

Claude Web

✅ Native

Fully supported

Claude Desktop

✅ Native

Fully supported

Cursor

✅ Native

Fully supported

VS Code (GitHub Copilot)

✅ Native

Supported

AntiGravity

✅ Native

Fully supported

OpenAI Codex

✅ Plugin via MCP

Supported

OpenCode & other skill-compatible harnesses

✅ Via MCP + skill files

Supported



License

This project is licensed under the Apache License 2.0.

© 2026 OBTO Inc. All rights reserved.

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/obto-inc/platform'

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