• SECURITY
  • RESOURCES
  • RELIABILITY
  • HUMAN

How to validate AI generated Kubernetes manifests with your AI

Connect your agent to the Kubernetes Architecture Prover to catch configuration errors before they hit your cluster.

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Short answer

How can I use my AI to check Kubernetes YAML files?

You point your agent at your manifest files, and it uses the validate_kubernetes_architecture tool to scan for missing resource limits, security risks, and reliability issues. You get a clear breakdown of what needs fixing before you deploy.

Audit outcomes.

Where your findings land.

The AI categorizes every issue so you know exactly what to fix.

SECURITY

Risk identification

The AI flags dangerous configurations like running as root or missing security contexts. You get a list of specific vulnerabilities to patch.

RESOURCES

Capacity checks

It finds pods missing CPU or memory limits. This prevents a single container from crashing your entire node.

RELIABILITY

Stability gaps

The agent identifies missing liveness or readiness probes. You receive actionable advice to ensure your services stay healthy.

HUMAN

Manual review

The AI highlights complex architectural decisions that require your judgment. You decide if the suggested changes fit your specific environment.

The workflow

What your AI does when the manifest arrives.

The AI acts as a specialized auditor for your infrastructure code.

  1. Scan YAML structure

    The agent reads your raw manifest files to understand the intended deployment state.

    validate_kubernetes_architecture

  2. Identify misconfigurations

    It compares your code against best practices for security and resource management.

    validate_kubernetes_architecture

  3. Detect missing constraints

    The AI looks for missing limits, requests, and health checks that could cause instability.

    validate_kubernetes_architecture

  4. Generate audit report

    Your agent compiles all findings into a structured list of errors and warnings.

    validate_kubernetes_architecture

Try it

Copy these to start.

Use these prompts to kick off an audit.

Starting points

These are opening lines. Replace the bracketed text with your actual file paths or repository names.

Kubernetes Architecture Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_5R8kMC05RFsYvzrADI0onwKUjFTA7YO6YqsJzlol/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "kubernetes-architecture-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5R8kMC05RFsYvzrADI0onwKUjFTA7YO6YqsJzlol/mcp"
    }
  }
}
Copy into chat04

  • Validate this deployment manifest for security flaws: [path/to/file.yaml]

  • Check my Kubernetes YAML in [repo-name] for missing resource limits.

  • Audit these manifests for reliability gaps like missing probes: [path/to/folder]

  • Review this manifest and tell me if it follows Kubernetes best practices: [path/to/file.yaml]

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Start here

Connect Kubernetes Architecture Prover once, then ask.

You only need to link the MCP to your client once. After that, your agent can immediately start auditing your files.

Connect Kubernetes Architecture Prover to your AI

FAQ

How the audit behaves

  • 01

    Can the AI fix my YAML files automatically?

    No. The AI identifies the issues and suggests fixes, but you must manually apply the changes to your files.

  • 02

    Does the AI deploy these manifests to my cluster?

    No. This MCP only performs validation and auditing. It does not have the capability to execute commands on your Kubernetes cluster.

  • 03

    What kind of files can it check?

    It is designed to validate Kubernetes manifest files, specifically YAML configurations.

  • 04

    Will it catch security issues like privileged containers?

    Yes, the validation tool specifically looks for security misconfigurations like privileged escalation or missing security contexts.

  • 05

    Does it check for resource requests and limits?

    Yes, it scans for missing CPU and memory constraints to prevent node exhaustion.

  • More questions about Kubernetes Architecture Prover? The Connector page answers them. See everything the Kubernetes Architecture Prover Connector can do

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