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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Model Versioning Cost with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the financial and operational impact of managing AI model versions.

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 Model Versioning Cost capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Model Versioning Cost.

  1. 01

    Generate sunset strategy

    Determine the best strategy for retiring an old model version

  2. 02

    Analyze version retention risk

    Identify which versions are most expensive and risky to keep active

  3. 03

    Calculate versioning total cost

    Calculate the total projected cost of the current model versioning setup

  4. 04

    Estimate migration impact

    Estimate the cost and difficulty of migrating users to a new version

One connector, every AI

AI Model Versioning Cost 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 Model Versioning Cost 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

861ms average. Fast in production.

AI Model Versioning Cost is checked daily against the live service.

Daily averagePeak 861ms
Sep 6Today
Fastest day
861ms
Slowest day
861ms
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 Model Versioning Cost, so you can see the experience inside your AI.

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

AI Model Versioning Cost Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2eQJyCkwN25I1cxwk6kQqZfi1K5lClYRvX4NtGD5/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 Model Versioning Cost capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-model-versioning-cost-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2eQJyCkwN25I1cxwk6kQqZfi1K5lClYRvX4NtGD5/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 Model Versioning Cost owners ask.

  • 01

    How does this capability calculate total versioning costs?

    The calculate_versioning_total_cost capability sums the total storage cost (versions multiplied by size and unit cost) and the routing overhead cost (storage cost multiplied by the routing complexity factor).

  • 02

    Can I plan how to retire old models?

    Yes, you can use generate_sunset_strategy to determine if you should use immediate deprecation, gradual phase-out, or extended support based on backward compatibility needs and customer lock-in.

  • 03

    How do I identify risky model versions?

    Use the analyze_version_retention_risk capability. It evaluates the risk score based on the version age and the customer lock-in factor to highlight expensive or dangerous legacy versions.

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