Kubernetes Architecture ProverをAIに接続

• 01 / 02Kubernetes構成の検証方法
• 02 / 02How to validate manifests

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Kubernetes Architecture Prover Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_5R8kMC05RFsYvzrADI0onwKUjFTA7YO6YqsJzlol/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Kubernetes Architecture Prover capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "kubernetes-architecture-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5R8kMC05RFsYvzrADI0onwKUjFTA7YO6YqsJzlol/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Kubernetes Architecture ProverをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  SRE (Site Reliability Engineer)

  インフラの信頼性と可用性を維持し、設計上の欠陥による障害を未然に防ぎたいプロフェッショナル。

• 02

  Platform Engineer

  開発者が安全に利用できる、標準化されたKubernetesプラットフォームのガードレールを構築する担当者。

• 03

  DevOps Engineer

  CI/CDパイプラインにアーキテクチャの検証プロセスを組み込み、デプロイの安全性を高めたいエンジニア。

• 01

  What happens if my AI agent skips resource limits?

  The MCP will return a RESOURCES_UNGOVERNED verdict. It will explain that without limits, noisy neighbors can OOM-kill your workloads and the scheduler cannot make informed decisions.

• 02

  Can this MCP prevent container escapes?

  Yes. By validating security hardening, it ensures containers run as non-root, drop capabilities, and follow restricted PodSecurityStandards.

• 03

  Does it support multi-replica deployments?

  Yes. It checks for reliability design, including minimum replica counts, PodDisruptionBudgets, and anti-affinity rules to prevent single points of failure.

• 04

  How does it handle network security?

  It rejects flat network configurations. It requires a default deny-all NetworkPolicy with explicit allow rules for ingress and egress.

• 05

  What is a 'Decision Pivot'?

  A Decision Pivot is one of the five core architectural categories (Resources, Security, Reliability, Observability, Networking) used to judge the quality of a workload.

• 06

  Does it generate Kubernetes manifests?

  No. It validates that your architecture addresses the five production-critical pillars. resource governance, security hardening, reliability design, observability instrumentation, and network restriction. It does not generate YAML. It forces you to prove your YAML is production-ready.

• 07

  What counts as proper resource governance?

  Every container must have CPU and memory requests AND limits. Every namespace must have a LimitRange (defaults for containers that don't specify) and a ResourceQuota (ceiling for the namespace). 'The cluster handles it' is not governance. it is the absence of governance.

• 08

  Is it useful for managed Kubernetes (EKS, GKE, AKS)?

  Yes. Managed Kubernetes handles the control plane. it does NOT handle your workload architecture. Resource limits, security context, PDBs, probes, and NetworkPolicies are YOUR responsibility on every provider. The cloud provider manages etcd. You manage everything that runs on the nodes.

• 

  Kubernetes Resource Request Calculator AIコネクタ

  Computes Kubernetes CPU/memory requests and limits from observed usage metrics (p50/p95/p99).

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