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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Infrastructure Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Model your GPU spend and hosting decisions with precision.

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 · 4 capabilities

The complete AI Infrastructure Optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with AI Infrastructure Optimizer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Infrastructure Optimizer.

  1. 01

    Project implementation timeline

    This capability calculates the expected timeframe for deploying specific infrastructure optimizations. It provides a timeline and a complexity score for your planning.

  2. 02

    Calculate savings potential

    This capability estimates how much money you can save annually through optimization strategies like rightsizing or using spot instances.

  3. 03

    Compare cloud vs onprem

    This capability compares the annual costs of hosting your workloads in the cloud against running them on your own on-premise hardware.

  4. 04

    Estimate investment requirements

    This capability determines the necessary CapEx or OpEx needed to support your planned AI computing infrastructure.

One connector, every AI

AI Infrastructure Optimizer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put AI Infrastructure Optimizer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

986ms average. Fast in production.

AI Infrastructure Optimizer is checked daily against the live service.

Daily averagePeak 986ms
Sep 14Today
Fastest day
986ms
Slowest day
986ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 AI Infrastructure Optimizer, so you can see the experience inside your AI.

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

AI Infrastructure Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_B2aLXKNw0Ef9OdqviiujGPLXC2lkZdAZLCg4MORS/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 — AI Infrastructure Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-infrastructure-cost-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_B2aLXKNw0Ef9OdqviiujGPLXC2lkZdAZLCg4MORS/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

Guided setup for Claude? How to give Claude access to AI Infrastructure Optimizer

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Infrastructure Optimizer owners hand off.

This MCP is built for technical leaders managing the high costs of AI compute. It turns raw workload data into financial models.

  • 01

    AI Infrastructure Engineer

    Uses the capability to model the impact of rightsizing and GPU efficiency on existing clusters.

  • 02

    FinOps Analyst

    Uses the capability to compare cloud versus on-premise costs to optimize company spend.

  • 03

    CTO

    Uses the capability to estimate CapEx and OpEx requirements for upcoming AI projects.

FAQ

Questions AI Infrastructure Optimizer owners ask.

  • 01

    What can this MCP calculate?

    It calculates annual savings from optimization, compares cloud versus on-premise costs, and estimates investment requirements.

  • 02

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, or Windsurf.

  • 03

    Does this capability help with GPU planning?

    Yes, it models the cost impact of GPU utilization and provides implementation timelines for efficiency optimizations.

  • 04

    Can I compare cloud and on-premise costs?

    Yes, the compare_cloud_vs_onprem capability lets you decide the best hosting model based on your workload volume.

  • 05

    How does it handle CapEx and OpEx?

    The estimate_investment_requirements capability determines the specific capital or operating expenditure needs for your infrastructure.

  • 06

    How do I calculate my potential savings?

    You can use the calculate_savings_potential capability by providing your current annual spend, environment type, and current utilization rate.

  • 07

    What kind of investment is required for optimizations?

    The estimate_investment_requirements capability will tell you if the required investment is CapEx or OpEx based on your chosen optimization levers.

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