Kubernetes Resource Calculator Connector for AI agents.
3 live capabilities
Generate production-ready Kubernetes resource limits and requests from actual usage data.
Waiting for input…
Why people use Kubernetes Resource Calculator
Kubernetes Resource Request Calculator for Precision K8s Sizing
This Connector takes that manual math off your plate. You just tell your agent the usage percentiles you're seeing, and it handles the rest. It outputs a ready-to-use configuration that balances performance with cost. You get production-ready specs in seconds.
What Vinkius changes
You get data-driven Kubernetes configs instead of manual guesswork.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Sizing a new microservice
A developer needs to size a new microservice.
- Real-world use case 02
Verifying scaling ratios
An SRE wants to know if a 2.
- Real-world use case 03
Planning a large rollout
A team is planning a 50-replica rollout.
Complete set · 3capabilities
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.
01—03
3 capabilities in this set.
Part of 3 available through Kubernetes Resource Calculator.
- 01 Capability
Estimate cluster demand
Projects total resource needs for a deployment based on pod specs and replica counts. It helps you plan your cluster capacity before you hit deploy.
- 02 Capability
Generate resource specification
Creates a full resource configuration using your actual usage history. It automates the math required to set accurate limits.
- 03 Capability
Validate scaling ratio
Checks if your limit-to-request ratio stays within safe operational boundaries. It prevents you from setting aggressive ratios that could cause instability.
Set up in minutes
One URL. Then ask Kubernetes Resource Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Kubernetes Resource Calculator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Kubernetes Resource Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Kubernetes Resource Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Kubernetes Resource Calculator URL.
- Step 03
Save and start
Save the connection and enable Kubernetes Resource Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"kubernetes-resource-request-calculator": {
"url": "https://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Kubernetes Resource Calculator
Open Agent mode in chat and ask: "Using Kubernetes Resource Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"kubernetes-resource-request-calculator": {
"url": "https://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Kubernetes Resource Calculator
Ask Copilot: "Using Kubernetes Resource Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"kubernetes-resource-request-calculator": {
"url": "https://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Kubernetes Resource Calculator
Open Cascade and ask: "Using Kubernetes Resource Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"kubernetes-resource-request-calculator": {
"url": "https://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Kubernetes Resource Calculator
Ask Cline: "Using Kubernetes Resource Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add kubernetes-resource-request-calculator --transport http "https://edge.vinkius.com/vk_preview_XwKoTMcUkhyOCkZdcYlfU4k00pRK7eRAzqyUhny3/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Kubernetes Resource Calculator
Ask Claude: "Using Kubernetes Resource Calculator, show me...". 3 tools are ready
Where the request belongs
Work Kubernetes Resource Calculator can move forward.
The DevOps engineer who's tired of pods hitting OOM errors or the SRE who's trying to cut down on wasted cloud spend.
DevOps Engineer
Sizing pods for production environments without manual math.
SRE
Monitoring cluster demand to prevent node exhaustion.
Cloud Architect
Planning resource budgets for large-scale fleet deployments.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Message Queue Throughput Calculator
Plan capacity for Kafka, RabbitMQ, or SQS by calculating consumer needs, backlog drain time, and concurrency.
OpenCost (K8s Cost)
Monitor and analyze Kubernetes infrastructure costs. query workload allocations, backing assets, and cloud billing directly from your AI agent.
Prometheus
Monitor your infrastructure with Prometheus. run PromQL queries, analyze metrics, and manage time-series data directly from your AI agent.
Rancher
Equip your AI to manage Kubernetes environments directly through Rancher, overseeing clusters, namespaces, and active pods.
Bring your own AI
Change the model, client or framework. Keep Kubernetes Resource Calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Kubernetes Resource Calculator.
The practical details behind the request, access and result.
How does the Kubernetes Resource Request Calculator help with my cloud bill?
It helps you avoid over-provisioning by calculating the exact CPU and memory limits your pods actually need based on your usage data, ensuring you don't pay for idle resources.
Can I use the Kubernetes Resource Request Calculator to prevent OOM kills?
Yes, by using your p95 or p99 memory usage metrics, the capability calculates a request and limit that provides a realistic buffer for your workload.
How do I know if my K8s scaling ratios are safe?
You can use the capability to check your limit-to-request ratios. It will tell you if your current configuration is in a safe zone or an Aggressive zone.
Can this capability help me plan my cluster capacity?
Yes, it can project the total resource demand for an entire deployment based on your pod specifications and the number of replicas you plan to run.
What metrics do I need to provide to the Kubernetes Resource Request Calculator?
You just need to provide your observed usage percentiles, such as p50, p95, or p99, along with a multiplier for how much overhead you want to include.
Does the Kubernetes Resource Request Calculator create my YAML files?
It generates the full resource configuration for you, which you can then copy directly into your Kubernetes manifest files.
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.
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.
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.
One connection away
Give your agent a direct line to Kubernetes Resource Calculator.
Connect Kubernetes Resource Calculator once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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