MCTL is an AI-native platform for Kubernetes and cloud infrastructure. It gives growing teams GitOps, secrets, team isolation, and AI-assisted workflows out of the box, so they can operate like a mature platform team without building one first.

Firecrawl CLI — The complete web data toolkit for AI agents

The complete web data toolkit for AI agents

Hey Product Hunt! 👋 We built MCTL because too many teams want the benefits of Kubernetes, but end up paying for it with platform overhead. In practice, “adopting Kubernetes” often means assembling GitOps, secrets, access control, deployment workflows, internal tooling, and team isolation from scratch — then hiring people to keep it all running. We wanted a simpler path. MCTL is an AI-native Kubernetes platform for growing product teams. It brings GitOps, secrets management, team isolation, and self-service workflows into one stack, with multiple ways to operate it: portal, API, CLI, or even natural language. The goal is straightforward: help teams ship on Kubernetes without waiting on tickets or building a dedicated platform team first. We’re especially interested in feedback from founders, product teams, and engineers who felt Kubernetes was “too much” for their stage. Where does the friction still show up for you?

The "operate like a mature platform team without building one first" pitch resonates. A lot of growing teams hit this wall around 15-20 engineers where Kubernetes complexity outpaces their ops capacity. Curious how you handle the handoff when they actually do want to build a custom internal platform - does MCTL export configs cleanly or is there some lock-in?

Firecrawl CLI — The complete web data toolkit for AI agents

The complete web data toolkit for AI agents

mctl.ai

AI-native platform for Kubernetes and cloud ops

AI-native platform for Kubernetes and cloud ops