Kubernetes MCP 服务器

Kai

Manage Kubernetes resources through natural language using large language models.

Kyverno

Provides Kyverno policy management capabilities through a standardized interface for Kubernetes clusters.

Kubernetes

Provides read-only access to Kubernetes clusters, designed for seamless integration with AI assistants.

KDebug

Debug Kubernetes clusters conversationally using an LLM that executes commands on your behalf via the Model Control Protocol (MCP).

Kubernetes

Manages Kubernetes clusters using kubectl.

K8s Pilot

Manage multiple Kubernetes clusters from a centralized control plane.

Kubernetes

Exposes Kubernetes resources as structured tools, enabling AI agents to interact with a Kubernetes cluster.

Kubernetes

Provides programmatic access and advanced management capabilities for Kubernetes clusters through the Model Context Protocol.

Kubernetes

Enables natural language interaction with Kubernetes clusters through LLMs, simplifying resource management and deployment.

Kubernetes

Exposes the Kubernetes API via the Model Context Protocol (MCP).

Agentic Framework

Enables multiple AI agents to collaborate through asynchronous messaging using the Model Context Protocol.

K8s

Exposes a comprehensive API to retrieve Kubernetes cluster information and diagnose issues using the Model Context Protocol.

VibePush

Enables AI agents to deploy, monitor, and fix applications on your own servers without YAML or Kubernetes expertise.

Helm Chart CLI

Enables AI assistants to interact with the Helm package manager for Kubernetes using natural language.

Kube Operator

Exposes microservice APIs as MCP services within Kubernetes using a dedicated operator and sidecar.

Rad Security

Provides AI-powered security insights for Kubernetes and cloud environments through a Model Context Protocol server.

K8s

Streamline Kubernetes cluster management through an AI-powered conversational interface leveraging Model Context Protocol and Google Gemini.

Shell Command

Executes shell commands securely within an isolated Docker container using the Model Context Protocol (MCP).

Multicluster

Provides a gateway for GenAI systems to interact with multiple Kubernetes clusters via the Model Context Protocol (MCP).

K8s Interactive

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