Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.

A Kubernetes cluster management server based on the MCP protocol, supporting interaction with the Kubernetes cluster through the command line or chat interface, providing functions such as resource management and Helm chart operations.

An MCP server based on Kubernetes for managing and operating Kubernetes clusters

The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.

An MCP server based on Golang for connecting to Kubernetes clusters, providing resource query and operation functions.

K8M is an AI-driven lightweight Kubernetes console tool that integrates large model capabilities, supports multi-cluster management, and provides MCP services.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

Kom is a Kubernetes operation management tool that provides functions such as multi-cluster management, resource creation, deletion, update, and query, Pod operations, and SQL queries. It supports CRD and built-in resource operations, simplifying the daily operation and maintenance of k8s.

The Kubernetes MCP Server is a powerful implementation of the Kubernetes model context protocol, supporting operations on Kubernetes and OpenShift clusters. It can perform various resource management tasks without relying on external tools.

The Metoro MCP Server is an open-source project that connects Kubernetes cluster data to the Claude desktop application via the Model Context Protocol, enabling AI-driven cluster observation.

The multi-cluster MCP server provides a gateway for generative AI systems to interact with multiple Kubernetes clusters, supporting resource operations, cluster management, and monitoring.

An MCP server for managing Strimzi Kafka clusters on Kubernetes, providing 62 tools to support complete functions such as cluster management, topic operations, user management, and connector configuration.

The K8s MCP Server is a Docker-based server that implements Anthropic's Model Context Protocol (MCP), allowing Claude to run Kubernetes CLI tools (such as kubectl, helm, etc.) in a secure containerized environment to help users manage, diagnose, and optimize Kubernetes clusters.

A backend system for managing Kubernetes resources, retrieving and analyzing logs, and formatting and exporting logs through the MCP protocol.

MKP is a Model Context Protocol (MCP) server specifically designed for Kubernetes, providing tools for interacting with Kubernetes clusters and supporting resource query and application operations.

A Kubernetes management tool based on the MCP protocol, supporting CRUD operations on K8s resources and Helm through natural language interactions.

A lightweight Kubernetes MCP server that provides natural language processing and API access functions, and operates cluster resources by combining kubectl commands and the Python client.

Inspektor Gadget MCP Server is an AI-driven debugging and inspection tool for Kubernetes clusters, providing one-click deployment, intelligent analysis, and automatic discovery functions.

An intelligent system that combines AI with Kubernetes management, enabling cluster diagnosis, resource monitoring, and log analysis through natural language interaction to simplify K8s operations and maintenance work.

An instant SRE diagnostic agent for NVIDIA GPU hardware diagnosis in Kubernetes clusters, providing real-time GPU hardware detection and fault troubleshooting functions through the MCP protocol.

A Golang-based MCP-compatible server for running Argo workflows

Kubernetes toolset that provides a set of Kubernetes functions for agents to use, supporting direct passing to agents or use through an MCP server. Focuses on monitoring and root cause analysis use cases, providing strongly typed and well-documented tools.

A Kubernetes management server based on the MCP protocol that enables control of Kubernetes clusters through natural language interaction.

Cyclops MCP is a tool that allows AI agents to securely manage and deploy Kubernetes applications through the Model Context Protocol, providing template validation and application creation/update functions

The Claude Kubernetes MCP Server is a Go - based integrated platform that combines ArgoCD, GitLab, and Claude AI to achieve advanced automated control of Kubernetes environments.

mcp-kubernetes-ro is a Kubernetes read-only server based on the Model Context Protocol (MCP), providing AI assistants with secure read-only access to clusters. It supports operations such as resource querying, log retrieval, and API discovery, and can use local kubeconfig configuration without installing the kubectl binary.

kube-mcp is a Kubernetes management tool that provides cluster resource viewing functionality

Kubernetes MCP is a model context protocol server implemented in Go language, specifically designed to interact with Kubernetes clusters. It provides rich Kubernetes resource management functions through the MCP protocol, supports multiple transmission methods, and includes advanced features such as cluster metric monitoring and log analysis.

The MCP server for Amazon VPC Lattice provides tools and documentation support for accessing and managing AWS VPC Lattice resources, including functions such as resource listing, prompt templates, and CLI operations.

A read - only MCP service for Kubernetes clusters based on Python, providing comprehensive APIs to retrieve cluster information and diagnose problems.

mcp-k8s-eye is a Kubernetes cluster management and workload analysis tool

mcp - kubernetes - server is an MCP protocol server that serves as a bridge between AI assistants and Kubernetes clusters, enabling Kubernetes operations through natural language interaction.

A server based on the MCP protocol for AI models to interact with Kubernetes troubleshooting support bundles, providing bundle management, command execution, and file browsing functions.

The Kubernetes MCP Server is a bridge that connects large language models and Kubernetes clusters, supporting the management of Kubernetes resources through natural language.

kube-audit-mcp is an MCP server that provides AI agents with the ability to query Kubernetes audit logs and supports multiple log providers such as Alibaba Cloud, AWS, and Google Cloud.

The Claude Kubernetes MCP server is a Go-based integrated platform that combines ArgoCD, GitLab, and Claude AI to achieve advanced control and automation of the Kubernetes environment.

k8s_pilot is a lightweight centralized management and control plane for multiple Kubernetes clusters, supporting multi-cluster context switching, resource CRUD operations, and namespace management. It is integrated with Claude AI through the MCP protocol.

Portainer MCP is an open - source project that implements the Model Context Protocol (MCP). It connects AI assistants to the Portainer container management platform through a standardized interface, supporting querying and managing Docker/Kubernetes environments.

A Python-based tool for obtaining infrastructure monitoring data through the Datadog API, providing monitoring status tracking and Kubernetes log analysis functions.

The Kubernetes MCP Server is a tool that provides secure read-only access to Kubernetes resources for debugging and inspecting the cluster status. It supports multi-cluster switching, CRD resources, and intelligent resource discovery, emphasizing security and high performance.