Kubernetes is a powerful platform for deploying and managing applications in a containerized environment. It provides the tools to automate deployment, scaling, and operations of application containers across clusters of hosts. This post will be short as I wanted to show off my latest creation and get your feedback. I have created a Kubernetes MCP server that allows tools such as Claude Code to interact with Kubernetes clusters. This MCP server is designed to be a bridge between AI tools and Kubernetes, enabling seamless integration and management of containerized applications.
The MCP server is built using Python and Flask, providing a RESTful API that allows AI tools to interact with Kubernetes clusters. Modeled after helm and kubectl, it supports various operations such as deploying applications, scaling services, and monitoring cluster health.