K8s MCP Server is a Docker-based server that implements Anthropic's Model Context Protocol (MCP) to enable AI assistants like Claude to securely execute Kubernetes CLI commands. It supports multiple Kubernetes tools including kubectl, helm, istioctl, and argocd, all within a containerized environment. This server facilitates AI-driven Kubernetes cluster management and troubleshooting by allowing Claude to run commands against Kubernetes clusters, analyze the results, and provide explanations or suggestions. The project includes features such as native support for cloud providers like AWS EKS, Google GKE, and Azure AKS, security measures including running as a non-root user with strict command validation, and support for command piping with Unix tools like jq, grep, and sed. The server is designed to integrate seamlessly with Claude Desktop, enabling users to interact with their Kubernetes clusters through natural language queries and commands. Users can deploy applications, troubleshoot issues, optimize configurations, and manage Kubernetes resources using simple conversational commands. The project provides comprehensive documentation covering setup, cloud provider configuration, supported tools, security features, and detailed architecture. It also offers demo sessions showcasing deployment and troubleshooting of a WordPress application using Helm and kubectl commands. The server supports advanced configuration options for targeting specific clusters and namespaces, and for connecting to cloud provider clusters with appropriate credentials. Overall, K8s MCP Server enhances Kubernetes cluster management by leveraging AI capabilities through the Model Context Protocol, making complex Kubernetes operations more accessible and efficient for users.
https://github.com/alexei-led/k8s-mcp-server
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