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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI MLOps Cost Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate and analyze the financial footprint of your MLOps lifecycle.

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 MLOps Cost Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with AI MLOps Cost Analyzer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI MLOps Cost Analyzer.

  1. 01

    Analyze revenue impact

    Calculate MLOps cost as a percentage of total business revenue

  2. 02

    Calculate per model costs

    Calculate the total cost for each specific model version

  3. 03

    Get total mlops expenditure

    Calculate the total amount spent on MLOps infrastructure

  4. 04

    Identify efficiency opportunities

    Identify potential cost savings in the MLOps lifecycle

One connector, every AI

AI MLOps Cost Analyzer 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 MLOps Cost Analyzer 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

956ms average. Fast in production.

AI MLOps Cost Analyzer is checked daily against the live service.

Daily averagePeak 956ms
Sep 6Today
Fastest day
956ms
Slowest day
956ms
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 MLOps Cost Analyzer, so you can see the experience inside your AI.

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

AI MLOps Cost Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XrnJegg3iLy9pJbLy2XC4sRpDDLmnAGswosCivMQ/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 MLOps Cost Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-mlops-infrastructure-cost-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XrnJegg3iLy9pJbLy2XC4sRpDDLmnAGswosCivMQ/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions AI MLOps Cost Analyzer owners ask.

  • 01

    How does this capability calculate per-model costs?

    The calculate_per_model_costs capability takes the specific deployment cost of a model and adds its proportional share of the total monitoring and data pipeline costs based on its operational footprint.

  • 02

    Can I identify where I am overspending in my ML lifecycle?

    Yes, the identify_efficiency_opportunities capability analyzes the ratio of experiment tracking costs to deployment costs to highlight potential areas for optimization.

  • 03

    Does it account for A/B testing costs?

    Yes, when performing A/B testing, the costs for both the control and challenger models are aggregated to provide an accurate total cost for the experiment.

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