"Google" matching MCP servers:

Enables interaction with Google Kubernetes Engine (GKE) to list clusters, manage node pools, and retrieve server configurations. It includes automated scripts for deploying and testing sample applications across multiple GKE Autopilot clusters.

Enables AI assistants to manage Google Cloud Batch HPC jobs and Compute Engine VMs through conversational prompts, including submitting jobs, provisioning instances, and retrieving diagnostics.

Enables AI assistants to manage Google Cloud TPU VMs, including queueing, monitoring, bootstrapping, and SSH/tmux integration.

Enables Google Gemini and any MCP-compatible client to securely monitor and manage hypervisor guests — starting, stopping, rebooting, snapshotting, rolling back, and backing up VMs and containers — through the Model Context Protocol over Streamable HTTP with OAuth 2.0/OIDC authentication.

Enables interaction with Kubernetes clusters through 32 specialized tools for managing resources, deployments, and services. Provides both CLI and web interfaces for real-time Kubernetes operations powered by Google Gemini.