Kubernetes MCP Server

✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 💬 Community | 🧑‍💻 Development

https://github.com/user-attachments/assets/be2b67b3-fc1c-4d11-ae46-93deba8ed98e

✨ Features

A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.

• ✅ Configuration:
  • Automatically detect changes in the Kubernetes configuration and update the MCP server.
  • View and manage the current Kubernetes .kube/config or in-cluster configuration.
• ✅ Generic Kubernetes Resources: Perform operations on any Kubernetes or OpenShift resource.
  • Any CRUD operation (Create or Update, Get, List, Delete).
• ✅ Pods: Perform Pod-specific operations.
  • List pods in all namespaces or in a specific namespace.
  • Get a pod by name from the specified namespace.
  • Delete a pod by name from the specified namespace.
  • Show logs for a pod by name from the specified namespace.
  • Top gets resource usage metrics for all pods or a specific pod in the specified namespace.
  • Exec into a pod and run a command.
  • Run a container image in a pod and optionally expose it.
• ✅ Namespaces: List Kubernetes Namespaces.
• ✅ Events: View Kubernetes events in all namespaces or in a specific namespace.
• ✅ Projects: List OpenShift Projects.
• ☸️ Helm:
  • Install a Helm chart in the current or provided namespace.
  • List Helm releases in all namespaces or in a specific namespace.
  • Uninstall a Helm release in the current or provided namespace.
• 🔧 Tekton: Tekton-specific operations that complement generic Kubernetes resource management.
  • Pipeline: Start a Tekton Pipeline by creating a PipelineRun.
  • PipelineRun: Restart, cancel, troubleshoot, and retrieve PipelineRun logs.
  • Task: Start a Tekton Task by creating a TaskRun.
  • TaskRun: Restart a TaskRun with the same spec, and retrieve TaskRun logs via pod resolution.
• 🔭 Observability: Optional OpenTelemetry distributed tracing and metrics with custom sampling rates. Includes /stats endpoint for real-time statistics. See OTEL.md.

Unlike other Kubernetes MCP server implementations, this IS NOT just a wrapper around kubectl or helm command-line tools. It is a Go-based native implementation that interacts directly with the Kubernetes API server.

There is NO NEED for external dependencies or tools to be installed on the system. If you're using the native binaries you don't need to have Node or Python installed on your system.