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Tool connections (MCP)

Kubernetes MCP Server

containers/kubernetes-mcp-server

Let an assistant inspect Kubernetes resources, pod logs and cluster state.

Get started ↓

What is Kubernetes MCP Server?

Prepared by LessAI Tools from public project documentation

This Go-based MCP connects directly to Kubernetes and OpenShift for resource, log and event inspection, with authorized mutation and Helm operations. It suits teams already operating a cluster. A cluster and kubeconfig or in-cluster authorization are required; read-only configuration is available. Run it through npm, uvx or a release binary. Cluster infrastructure charges remain separate.

Kubernetes MCP Server setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Kubernetes MCP Server use cases

  • Inspect resources, pod logs and events
  • Perform authorized resource and Helm operations
  • Limit operations through read-only configuration

Official project & documentation

View source code ↗Setup and usage guide ↗

The project’s original description

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Alternatives to Kubernetes MCP Server for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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