ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Model Distillation ROI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Financial modeling engine to evaluate the economic viability of model distillation.

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 Distillation ROI capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Model Distillation ROI.

  1. 01

    Calculate distillation roi tool

    Determines the primary economic viability of a distillation project

  2. 02

    Compare deployment strategies tool

    Compares the financial outcome of using the teacher model versus the student model across different scales

  3. 03

    Evaluate performance impact tool

    Quantifies the qualitative loss in utility based on how performance retention correlates with business value

  4. 04

    Predict maintenance burden tool

    Estimates the long-term recurring costs of keeping the student model relevant

One connector, every AI

AI Model Distillation ROI 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.

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

You don't need a client to put AI Model Distillation ROI 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

887ms average. Fast in production.

AI Model Distillation ROI is checked daily against the live service.

Daily averagePeak 966ms
Sep 5Today
Fastest day
887ms
Slowest day
966ms
14-day trend
Improving-8%

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 Distillation ROI, so you can see the experience inside your AI.

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

AI Model Distillation ROI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_3O59L24yJhjYALPkuIBC1aM6zyZzmIDy0AxVavuQ/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 Distillation ROI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-model-distillation-roi-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3O59L24yJhjYALPkuIBC1aM6zyZzmIDy0AxVavuQ/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 Distillation ROI owners ask.

  • 01

    What is the primary purpose of this MCP?

    It provides capabilities to calculate the return on investment (ROI) when distilling a large teacher model into a smaller student model.

  • 02

    How do I calculate the break-even point?

    You can use the compare_deployment_strategies_tool to find the specific scale where the student model becomes more cost-effective than the teacher model.

  • 03

    Does this account for model drift?

    Yes, the predict_maintenance_burden_tool helps estimate the recurring costs required to keep the student model relevant over time.