Kubernetes MCP Servers
Discover Cursor MCP servers tagged with "Kubernetes" to enhance your AI coding experience.
Helm MCP provides a bridge between AI assistants and the Helm package manager for Kubernetes. It allows AI assistants to interact with Helm through natural language requests, executing commands like installing charts, managing repositories, and more.
An MCP server for interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files.
A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensi
Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible.
The gateway for GenAI systems to interact with multiple Kubernetes clusters.
A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (kubectl, helm, istioctl, and argocd) using Unix pipes in a safe Docker environment with multi-architecture support.
An MCP server that allows AI agents to manage Kubernetes resources through Cyclops abstraction
A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.
A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need t
MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol.
Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.
MCP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.