GKE and Gemini CLI work better together

We’re making regular releases, continuously improving and enhancing the Gemini CLI extension for GKE and GKE MCP server.

We’ve already heard from customers about how well the two work together: “We’re intrigued by the integration of GKE with Gemini CLI. This integration presents an exciting path to solve real-world challenges, and we look forward to working closely with Google to help shape its future.”  – Jason O’Connell, Head of Engineering AI and Architecture, Macquarie Bank.

How Gemini CLI has become an essential developer tool 

Gemini CLI has quickly become an essential tool for developers leveraging AI directly from their command line. For a deeper dive, learn more in this Gemini CLI blog post. This powerful AI agent, with built-in access to core tools, provides extensive out-of-the-box functionality, streamlining complex tasks and accelerating development workflows. It demonstrates the transformative potential of intelligent tooling for productivity. Gemini CLI quickly became the most starred agentic CLI on GitHub, and we’ve had dozens of releases featuring over a hundred community contributors.

One of the key strengths of Gemini CLI lies in its extensibility. Gemini CLI extensions bundle MCP servers, context files, and custom commands into a simple package that teaches Gemini how to use any tool. This innovative architecture enables seamless integration of countless extensibility, unlocking a universe of possibilities for developers to tailor their AI-driven workflows.

GKE: Powering the next generation of workloads

Google Kubernetes Engine (GKE) continues to be a cornerstone for enterprises seeking to deploy, manage, and scale their containerized applications. Its robust and flexible infrastructure has made it the leading choice for demanding workloads, including the increasingly vital training and inference tasks for AI models. Up until now, GKE leveraged the Gemini foundational model in Gemini CLI without GKE expert resources, prompts, or tools.

It is incredibly easy to get started with the new GKE Gemini CLI extension. You can install into Gemini CLI with a single command: