achetronic

achetronic / kubernetes-mcp

Public

Connect AI to Kubernetes: filtered responses, fine RBAC, safe to expose with OAuth 2.1

ai cel kubernetes mcp oauth2-1
36
2
100% credibility
Found Feb 05, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A secure bridge allowing AI assistants to manage Kubernetes clusters through natural language with built-in access controls and multi-cluster support.

How It Works

1
🔍 Discover Kubernetes Helper

You find this handy tool on GitHub that lets your AI friend safely handle your computer clusters just by chatting.

2
📥 Grab the Easy Setup

Download a simple ready-to-run file for your computer or use a one-click container option.

3
🔗 Point to Your Clusters

Tell it where your cluster info lives so it knows what to watch over.

4
🤖 Connect Your AI Buddy

Hook it up to your favorite AI chat app like Claude, and watch the magic start.

5
💬 Chat Naturally

Ask things like 'show running apps' or 'grow the team to five' in plain words.

✅ Clusters Managed Smartly

Your AI handles cluster tasks safely and quickly, saving you hours of manual work.

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AI-Generated Review

What is kubernetes-mcp?

Kubernetes MCP is a Go server that connects AI assistants like Claude Desktop or ChatGPT to Kubernetes clusters securely. It provides 25 tools for natural language ops—get pods, scale deployments, fetch logs, check RBAC—while filtering outputs with yq expressions to dodge context window limits. Deploy via binary, Docker, or Helm; expose safely with OAuth 2.1 and multi-cluster configs.

Why is it gaining traction?

It solves AI+K8s pain: no more token waste on giant YAML dumps, fine RBAC policies (e.g., devs read-only in prod namespaces), and hot-reload for kubeconfigs. Hook is easy integration—like linking your GitHub repo to VSCode or IntelliJ for AI-driven cluster queries, or connecting Kubernetes cluster to Grafana/Jira workflows without exposing raw kubectl.

Who should use this?

SREs juggling multi-cluster chaos who want AI debugging without prod mishaps. DevOps teams connecting Kubernetes pod to external databases or GitLab CI securely. Frontend/backend devs in VSCode/PyCharm/RStudio using ChatGPT for quick "scale my-app to 5" commands tied to GitHub/Microsoft accounts.

Verdict

Promising alpha for AI-powered K8s (31 stars, 1.0% credibility score), with top-tier docs, tests, and Apache license—but low adoption signals maturity risks. Prototype it now if you're early on github kubernetes mcp server; production folks wait for more battle scars.

(198 words)

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