OBTO

OBTO

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

Category
Visit Server

README

<p align="center"> <img src="https://imagedelivery.net/QjC6mNbtigBMadjlj3Sh_w/f2b5d615-b31e-4f3c-fbea-bc0ab8569400/mobilecard" alt="OBTO" width="80" /> </p>

<h1 align="center">OBTO — The Glass Box AI Platform</h1>

<p align="center"> <strong>The first MCP-native platform where AI agents deploy production applications.</strong><br/> Describe what you want. The AI builds it and deploys it. You get a live URL. </p>

<p align="center"> <a href="https://www.obto.co">Website</a> · <a href="https://docs.obto.co">Docs</a> · <a href="https://www.obto.co/site/ob/terms">Terms</a> · <a href="https://www.obto.co/site/ob/privacy">Privacy</a> </p>


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

Links


License

This project is licensed under the Apache License 2.0.

© 2026 OBTO Inc. All rights reserved.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured