feiskyer/mcp-kubernetes-server

A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.

49
/ 100
Emerging

This project helps DevOps engineers and SREs manage their Kubernetes clusters using natural language. You can input commands or questions in plain English to an AI assistant (like Claude or GitHub Copilot), and it translates them into Kubernetes operations. The output is information about your cluster, resource statuses, or command results, all presented back in a way your AI assistant can understand.

Use this if you are a DevOps engineer or SRE who wants to interact with and manage Kubernetes clusters using natural language through an AI assistant.

Not ideal if you prefer to manage Kubernetes clusters directly via `kubectl` or programmatically, or if you do not use an AI assistant that supports the Model Context Protocol.

Kubernetes-management DevOps Site-Reliability-Engineering Cloud-Operations Infrastructure-as-Code
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

16

Forks

9

Language

Python

License

Apache-2.0

Last pushed

Feb 04, 2026

Commits (30d)

0

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