manusa/Kubernetes MCP Server

Overview

A Model Context Protocol server that enables AI assistants to interact with Kubernetes and OpenShift clusters. Written in Go, it exposes cluster resources and operations through the MCP interface for tool-based management.

Best for

Best for
Developers and platform engineers who want to manage Kubernetes clusters through conversational AI tools.

Use cases

• Querying and managing Kubernetes pods, deployments, and services via an AI assistant
• Troubleshooting cluster issues by inspecting logs and events through natural language
• Automating routine cluster operations like scaling or rolling updates with AI-driven commands

Notes

A Model Context Protocol server that enables AI assistants to interact with Kubernetes and OpenShift clusters. Written in Go, it exposes cluster resources and operations through the MCP interface for tool-based management.

1,642 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Querying and managing Kubernetes pods, deployments, and services via an AI assistant
• Troubleshooting cluster issues by inspecting logs and events through natural language
• Automating routine cluster operations like scaling or rolling updates with AI-driven commands

Pros

• Open source with active development and 1,600+ GitHub stars
• Supports both Kubernetes and OpenShift clusters out of the box
• Integrates with any MCP-compatible AI client (e.g., Claude, custom agents)

Cons

• Requires a running MCP client and network access to the cluster
• Cluster permissions must be configured separately for the server’s service account
• Limited to operations exposed by the MCP protocol; not a full kubectl replacement

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.