Governed AI Agents Across Your Enterprise Systems

CreateOS connects AI agents to the systems your work lives in, through governed connectors on the unified AI execution layer. Agents read and write across CRM, ERP, data, identity, and more, scoped to least-privilege access and logged on every call.

For developers and AI agents

Connect Your IDE and AI Coding Tools

Integrations are not only enterprise systems. CreateOS plugs straight into the tools developers and agents already use, through the official MCP server and a universal deployment Skill. No new IDE, no workflow change.

CreateOS MCP

The official CreateOS MCP server

Connect your IDE and AI assistant to CreateOS over the Model Context Protocol. Manage, deploy, and retrigger projects, read deployment logs and request stats, and drive your GitHub repos in natural language. 75+ tools, open source, with the latest MCP authorization and Streamable HTTP.

MCP endpoint
https://api-createos.nodeops.network/mcp
CursorVS Code CopilotClaude CodeGemini CLIGemini Code AssistWindsurfOpencodeZapierElevenLabs

CreateOS Skills

A universal deployment skill for any AI coding tool

Add the CreateOS Skill to the AI coding tool you already use and deploy, publish, and monetize an app with one natural-language command. No new IDE and no workflow change. Authentication is handled automatically over MCP, so basic operations need no API key.

Install
npx skills add https://github.com/NodeOps-app/skills --skill createos
Claude CodeGitHub CopilotGemini CLIOpenCodeCodexAmpKimi CLI

Common Questions

What is a governed AI agent integration?

It is a connection between an AI agent and an enterprise system that runs through a policy layer instead of straight to the API. CreateOS scopes access to least privilege, masks sensitive data, gates writes behind approval, validates outputs, and logs every call, so agents can act in your systems without becoming an ungoverned risk.

How is this different from an API gateway or an iPaaS?

An API gateway or iPaaS moves data between systems. CreateOS governs what an AI agent is allowed to do inside those systems: which fields it reads, what it can write, when a human must approve, and what gets logged. Integrations are governed connectors on the execution layer, not a standalone integration product.

Do we have to rebuild our integrations to use CreateOS?

No. CreateOS governs the agents that talk to your systems. Bring the agents you already build on any framework; they inherit routing, policy enforcement, data masking, and audit across every connected system without a rebuild.

Can agents write to our systems, or only read?

Both, but writes are governed. Reads are scoped to least privilege, and any action that changes a record routes through a human approval gate and is logged. The exact posture depends on the system, which each integration page describes.

Can developers use CreateOS from their IDE?

Yes. The CreateOS MCP server connects Cursor, VS Code Copilot, Claude Code, Gemini, Windsurf, and more, so you can manage and deploy projects in natural language. The CreateOS Skill adds one-command deploy to any AI coding tool. Both are open source.

Give Us One Stuck Pilot.

We'll have it in governed production before your next board meeting.