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Google's official GKE basics skill: creating clusters, choosing Autopilot or Standard, getting kubectl credentials, configuring Workload Identity and deploying workloads, plus a list of common gotchas. Needs gcloud and a GCP project.

Google's official skill library, focused on Google Cloud: 100+ skills for gcloud, Cloud Run, GKE, BigQuery, IAM, monitoring and logging, and the Well-Architected Framework, plus Ads and Analytics.

Official AWS MCP to create and manage EKS clusters, deploy apps, manage Kubernetes resources, and read pod logs and events for troubleshooting. Read-only by default; writes need --allow-write and reading logs needs --allow-sensitive-data-access.

Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud.

Microsoft's official Azure MCP: one server covering dozens of Azure services, including Storage, Cosmos DB, AKS, App Service, Key Vault and Monitor, so agents can query and manage cloud resources. Sign in to Azure first.

A native Go MCP server for Kubernetes and OpenShift: talks to the API server directly to create, read, update and delete any resource, view pod logs, exec commands and install Helm charts, without needing kubectl. Supports multiple clusters.

Fly.io's official CLI (fly): sign in, create and deploy apps, and list apps and check their status, reading fly.toml in the current directory to identify the app. Needs a Fly.io account.