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Multi Cluster Kubernetes MCP Server

Created By
razvanmacovei6 months ago
An MCP (Model Context Protocol) server application for Kubernetes operations, providing a standardized API to interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files.
Overview

What is Multi Cluster Kubernetes MCP Server?

The Multi Cluster Kubernetes MCP Server is an application designed to facilitate operations across multiple Kubernetes clusters using a standardized API, allowing users to manage multiple kubeconfig files seamlessly.

How to use Multi Cluster Kubernetes MCP Server?

To use the server, install it via pipx and configure your MCP client by adding the necessary kubeconfig directory to your configuration file. You can run it directly without installation using the command: pipx run k8s-multicluster-mcp.

Key features of Multi Cluster Kubernetes MCP Server?

  • Manage multiple Kubernetes clusters from a single interface.
  • Context selection for easy switching between clusters.
  • Cross-cluster operations for comparing resources and configurations.
  • Comprehensive resource management capabilities including scaling, diagnostics, and rollout management.

Use cases of Multi Cluster Kubernetes MCP Server?

  1. Managing resources across development, staging, and production clusters.
  2. Diagnosing application issues in a multi-cluster environment.
  3. Scaling deployments and managing rollouts across different clusters.

FAQ from Multi Cluster Kubernetes MCP Server?

  • Can I manage multiple clusters with this server?
    Yes, it is specifically designed for managing multiple Kubernetes clusters.

  • What are the prerequisites for using this server?
    You need Python 3.10 or higher, pipx installed, and one or more kubeconfig files.

  • Is there a way to perform maintenance on nodes?
    Yes, you can cordon, drain, and uncordon nodes as needed.

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