Kubernetes AI Assistant
Integrates with Kubernetes clusters through kubectl and Helm to provide unified resource management, diagnostics, and operations with configurable safety controls for production environments.
About
Kubernetes AI Assistant MCP server by Thanhdeptr that combines MCP Server for Kubernetes management with Rancher UI extensions to provide comprehensive cluster operations through kubectl and Helm integration. The implementation offers both read-only and destructive operations with configurable filtering, supporting unified kubectl commands for resource management (get, describe, apply, delete, create), Helm chart operations, port forwarding, scaling, rollouts, and specialized diagnostic capabilities through a k8s-diagnose prompt that guides systematic troubleshooting workflows. Built with TypeScript and featuring resource tracking, context switching, and transport flexibility (stdio/SSE), it serves DevOps teams managing Kubernetes clusters, developers needing programmatic access to cluster operations, and AI assistants requiring structured approaches to Kubernetes diagnostics and resource management with safety controls for production environments.
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