gke-mcp
Manage and troubleshoot Google Kubernetes Engine clusters
All Skills in This Repository (5)
Pure Emerald Level Indicators
GoogleCloudPlatformgke-inference-quickstart
Automate AI inference deployment on GKE with GIQ and MCP tooling.
GoogleCloudPlatformgke-workload-scaling
Automate GKE workload scaling with manual, HPA, and VPA workflows.
GoogleCloudPlatformgke-workload-security
Audit and harden GKE workloads by validating identity, network controls, and node security.
GoogleCloudPlatformgke-creation
Automate GKE cluster creation via template-driven workflows and MCP create_cluster schema validation.
GoogleCloudPlatformgke-compute-class-creator
Generate GKE ComputeClass manifests with autoscaling priorities and GPU/TPU fields.
Frequently Asked Questions
FAQPage SchemaHow to install gke-mcp?▼
Run `npx skills add GoogleCloudPlatform/gke-mcp --all -g -y` in your terminal to install all skills in this suite globally.
How to manage GKE clusters with plain English?▼
Connect gke-mcp to your MCP-compatible client, then ask it to list, create, update, or delete clusters and node pools in natural language.
Can gke-mcp troubleshoot cluster problems?▼
Yes. It queries logs, fetches node SOS reports, checks known GKE issues, and analyzes events to pinpoint failures like preemptions or out-of-memory errors.
Does gke-mcp work with Claude Code and Cursor?▼
Yes. It follows the MCP standard and connects to Claude Code, Claude Desktop, Cursor, VS Code, and Gemini CLI.
Can gke-mcp check upgrade risks before updating?▼
Yes. Its upgrade risk report scans API deprecations and best practices to flag potential issues before you upgrade a control plane.
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