Kubernetes MCP Server is an MCP solution that lets LLMs manage, monitor, and interact with Kubernetes clusters for AI-assisted cloud infrastructure management.
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A powerful MCP server for Kubernetes and OpenShift, supporting CRUD operations for any Kubernetes resource and specialized cluster interaction tools.
An MCP server to query and interact with Kubernetes environments monitored by Metoro, integrating Kubernetes monitoring with MCP.
Typescript implementation of an MCP server for Kubernetes cluster operations, including pods, deployments, and services management.
A Go-based MCP server to manage Harvester HCI clusters and Kubernetes resources, providing human-readable output and cluster management tools. Highly relevant as an MCP server.
A robust MCP server that enables AI assistants to securely execute Kubernetes CLI commands (kubectl, helm, istioctl, argocd) using Unix pipes in a Docker environment.
An MCP server for managing Kubernetes clusters, allowing listing, creating, updating, and deleting Kubernetes resources through Model Context Protocol.
Category: Cloud DevOps MCP Servers
Tags: kubernetes, cloud-native, devops, monitoring
Kubernetes MCP Server is a solution that enables LLMs to manage, monitor, and interact with Kubernetes clusters, supporting AI-assisted cloud infrastructure management. It connects to a Kubernetes cluster and allows command execution via CLI or integration with tools like Claude Desktop and mcp-chat.
kubectl explain and kubectl api-resources command supportMIT
No pricing information provided. The project is open source and available under the MIT license.