Kubernetes

About

The Kubernetes MCP server bridges the gap between AI tools and Kubernetes clusters, providing a seamless integration layer for advanced automation and interaction. It allows developers, operators, and AI tools to retrieve and analyze cluster resources, monitor deployments, execute kubectl operations through AI interfaces, and troubleshoot cluster issues with AI assistance, all using natural language.

Key Features

• Troubleshoot cluster issues with AI assistance.
• Execute kubectl operations through AI interfaces.
• 2 GitHub stars
• Monitor deployments, pods, and services.
• Supports stdio transport for stable communication.
• Retrieve and analyze Kubernetes cluster resources via natural language.

Use Cases

• Enabling natural language interaction with Kubernetes clusters.
• Integrating Kubernetes cluster monitoring with AI-driven analytics.
• Automating Kubernetes resource management using AI.