Kubernetes MCP Server

What is 🎯 Kubernetes MCP Server?

An AI-powered Kubernetes management system that combines MCP (Model Context Protocol) server, agent mode, and K8s tools. It enables real-time diagnostics, resource monitoring, and smart log analysis through conversational AI, allowing users to manage Kubernetes clusters with natural language queries.

How to use 🎯 Kubernetes MCP Server?

Build with Maven, then run the MCP server jar (mcp-server-1.0-SNAPSHOT.jar) or the agent jar. Ensure JDK 17+, Maven 3.8+, and a configured ~/.kube/config file. For MCP host integration (e.g., Claude Desktop), refer to the mcp-server README. For agent mode with REST API, see the agent README.

Key features of 🎯 Kubernetes MCP Server

• Natural language queries for cluster health and diagnostics
• Network analysis (logs, ingresses, services, endpoints)
• Storage management (PVs, PVCs, storage classes, capacity)
• Job and CronJob analysis (running, failed, history)
• Helm release management (list, upgrade, rollback, compare)
• Pattern analysis in logs, events, and resource usage

Use cases of 🎯 Kubernetes MCP Server

• Get real-time cluster health check via chat interface
• Debug failing pods and high restart counts with plain English
• Monitor storage volumes nearing capacity
• Manage Helm releases (upgrade, rollback, compare values)
• Analyze network topology and service endpoints effortlessly