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Use Kubernetes Resource Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Computes Kubernetes CPU/memory requests and limits from observed usage metrics (p50/p95/p99).

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Kubernetes Resource Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with Kubernetes Resource Calculator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Kubernetes Resource Calculator.

  1. 01

    Estimate cluster demand

    Projects the total resource requirements for a deployment based on pod specifications and replica count

  2. 02

    Validate scaling ratio

    Verifies if a specific limit-to-request ratio stays within recommended operational boundaries

  3. 03

    Generate resource specification

    Generates a complete resource configuration based on usage history

Observed, not estimated

647ms average. Fast in production.

Kubernetes Resource Calculator is checked daily against the live service.

Daily averagePeak 777ms
Aug 20Today
Fastest day
521ms
Slowest day
777ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Resource Calculator, so you can see the experience inside your AI.

It does not authenticate your account with Kubernetes Resource Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Kubernetes Resource Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/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 Resource Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "kubernetes-resource-request-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/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 Resource Calculator owners ask.

  • 01

    How does the capability calculate CPU and memory requests?

    The generate_resource_specification capability looks up the value in your provided metrics (p50, p95, or p99) that matches your chosen strategy percentile and sets that as the request.

  • 02

    What is a 'Guaranteed' QoS class?

    A pod is in the Guaranteed class if both its CPU request equals its limit and its memory request equals its limit.

  • 03

    Can I use this to plan for large-scale deployments?

    Yes, you can use estimate_cluster_demand to project the total CPU and memory footprint required for any number of replicas.

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