Kubernetes MCP Servers

K8s Interactive

Executes Kubernetes commands and interprets their output via a given kubeconfig path.

Kubernetes Tools

Provides a comprehensive suite of Python functions and an MCP server for interacting with Kubernetes clusters, primarily for building intelligent agents.

Remote Debugger

Provides a Model Context Protocol (MCP) server with remote debugging and profiling tools for Go applications.

Open Cluster Management

Connects Generative AI systems to multiple Kubernetes clusters for streamlined management and observability.

K8sWizard

Manage Kubernetes clusters and automate operations using AI-powered natural language interfaces.

Kubernetes

Enables AI tools to interact with Kubernetes clusters using natural language, facilitating advanced automation and interaction.

ProDisco

Provides progressive disclosure access to the Kubernetes API, enabling AI agents to interact with clusters efficiently and securely.

K8S AI Assistant

Integrates a Kubernetes MCP server with an AI-powered UI plugin, deployable via Docker Compose.

K8s

Provides an interactive interface for managing Kubernetes resources, retrieving logs, and formatting logs for export.

Kube

Enables Codename Goose AI agent to interact with a Minikube cluster via a Model Context Protocol (MCP) server.

Agnostic Multicloud Delivery Framework

Transforms any Kubernetes CRD into type-safe KCL schemas and developer-friendly blueprints.

Orca Agent

Automates initial triage and provides debugging guidance for observability alerts from systems like Grafana.

K8s

Manages Kubernetes deployments, pods, and services through a Model Control Protocol (MCP) server.

Remote Server Kubernetes

Provides remote management of Kubernetes clusters via the Model Context Protocol (MCP), enabling natural language control for AI platforms and applications.

Kubernetes Observability

Explores Kubernetes metrics, logs, traces, and service graph data through a unified interface.

Velero

Provides read-only, structured access to Velero backup and schedule resources within Kubernetes clusters for AI agents via the Model Context Protocol.

Poly K8s

Manages Kubernetes clusters by exposing kubectl, Helm, and Kustomize capabilities via the Model Context Protocol.

K8s Assistant

Provides a natural language interface for Kubernetes troubleshooting and analysis powered by AI.

Kube Core

Converts natural language requests into valid kubectl commands for Kubernetes.

Kubectl Go

Enables AI assistants to safely interact with Kubernetes clusters by executing kubectl commands with robust validation and security.