Use Kubernetes Architecture Prover with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. An AI generated Kubernetes manifests for a payment service. No resource requests or limits. No PodSecurityStandards. Single replica, no PDB. Zero NetworkPolicie
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Kubernetes Architecture Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Kubernetes Architecture Prover.
01
1 capability in this set.
Part of 1 available through Kubernetes Architecture Prover.
- 01
Validate kubernetes architecture
Kubernetes gives you power without guardrails. every guardrail must be explicitly configured. You must: (1) define RESOURCE GOVERNANCE. CPU/memory requests AND limits for every container, LimitRanges per namespace for defaults, ResourceQuotas for namespace ceilings. "The cluster handles it" is not governance, (2) enforce SECURITY HARDENING. runAsNonRoot, drop ALL capabilities, readOnlyRootFilesystem, PodSecurityStandard restricted, signed images, no :latest tag. Root containers inherit node-level attack surface, (3) design RELIABILITY. ≥2 replicas for production, PodDisruptionBudgets, anti-affinity across zones, HPA/VPA autoscaling. Single-replica = zero redundancy during drain, (4) instrument OBSERVABILITY. liveness, readiness, and startup probes with correct timing. Structured JSON logging aggregated to a central system. Prometheus metrics with SLO-based alerting. "We check the logs" is not observability, (5) restrict NETWORKING. default deny-all NetworkPolicies with explicit allow rules. Ingress TLS via cert-manager. Egress whitelists. mTLS between services. Flat network = any compromised pod reaches everything. If rejected, fix the specific architecture gap. Structured reflection capability for production Kubernetes architecture. forces resource governance, security hardening, reliability design, observability instrumentation, and network restriction before any workload reaches production. Catches Resources Ungoverned (deploying containers without CPU/memory requests and limits. "the cluster handles it" is not governance. Without requests, the scheduler cannot make informed decisions. it places pods on nodes that may already be overcommitted. Without limits, a single memory-leaking container consumes the entire node, evicting all other pods. Without LimitRanges, any developer can request 64GB RAM. Without ResourceQuotas, one namespace can starve others. "100m/500m CPU, 128Mi/512Mi memory per container, LimitRange 2Gi max, ResourceQuota 16Gi/namespace" is governance), Security Unhardened (running containers as root with full capabilities. a root container with NET_RAW capability can ARP-spoof the entire node network. runAsNonRoot=true, runAsUser≥1000, drop ALL capabilities, readOnlyRootFilesystem=true, PodSecurityStandard=restricted. "We trust our images" is not security. a compromised dependency in any base image inherits root privileges), Reliability Undesigned (single-replica production workloads without disruption budgets. Kubernetes drains nodes for upgrades. A single-replica workload has zero redundancy during drain. PodDisruptionBudget with minAvailable=1, anti-affinity across zones, HPA scaling 2→10 based on CPU. "It restarts fast" is not reliability. restart means downtime), Observability Absent (no probes, no structured logging, no metrics, no SLO alerting. without a readiness probe, Kubernetes sends traffic to pods that are not ready to serve. Without a liveness probe, a deadlocked pod is never restarted. Without startup probes, slow-boot JVM containers get killed before initialization. "We check the logs" is not observability. structured JSON logging, Prometheus metrics, and SLO-based alerting (error budget burn rate) is observability), and Networking Exposed (flat network with no network policies. in a flat Kubernetes network, any pod can reach any other pod on any port. A compromised frontend pod can directly query the database pod. Default deny-all NetworkPolicy per namespace, explicit ingress/egress allow rules per service, mTLS between services via service mesh. "We use private subnets" is not network security inside a cluster). Call once per Kubernetes deployment or architecture review
Observed, not estimated
849ms average. Fast in production.
Kubernetes Architecture Prover is checked daily against the live service.
- Fastest day
- 674ms
- Slowest day
- 1041ms
- 14-day trend
- Slowing+43%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Kubernetes Architecture Prover, so you can see the experience inside your AI.
It does not authenticate your account with Kubernetes Architecture Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Kubernetes Architecture Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_5R8kMC05RFsYvzrADI0onwKUjFTA7YO6YqsJzlol/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Kubernetes Architecture Prover capabilities are ready to use.
{
"mcpServers": {
"kubernetes-architecture-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_5R8kMC05RFsYvzrADI0onwKUjFTA7YO6YqsJzlol/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Kubernetes Architecture Prover owners ask.
- 01
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.
- 02
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.
- 03
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.
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