AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分钟完成验证MCP-native deployment platform — your AI writes and deploys full-stack apps to a live URL in one conversation. Model-agnostic, self-hostable, Glass Box transparency.
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查看完整 README ↗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 Inc. was founded in 2015. The platform has been running production workloads since 2019 — today it serves 300M+ monthly requests across 150+ institutions.
Go to obto.co/site/ob/signup and continue with Google. Your OBTO workspace is created automatically.
Everyone uses the same endpoint: https://app.obto.co/ms/mcp. Signing in with OAuth identifies you and your workspace; there is no personal URL and no API key to copy.
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 nine task skills (build loop, deploys & large files, media upload, memory, MCP extension, Postgres database, reviewer feedback, troubleshooting, platform boundary). Details: plugins/obto.
OpenAI Codex
codex plugin marketplace add obto-inc/platform
codex plugin add obto@obto
codex mcp login obto
Same marketplace, same skills; codex mcp login obto completes the Google OAuth sign-in in your browser. 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 |
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. Allow 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.
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.
The SKILL.md file is a set of instructions that teaches AI models how to build and deploy applications on OBTO. It covers:
xe. pattern — How backend services call each otherWithout 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 nine auto-loading task skills, with the MCP connection preconfigured.
| 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 |
This project is licensed under the Apache License 2.0.
© 2026 OBTO Inc. All rights reserved.