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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Model Compression ROI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the economic impact of AI model compression.

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 Compression ROI capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Model Compression ROI.

  1. 01

    Analyze compression roi

    Calculates the primary economic viability of a specific compression attempt

  2. 02

    Calculate maintenance impact

    Estimates the long-term costs associated with keeping a compressed model functional

  3. 03

    Evaluate deployment flexibility

    Quantifies the value of being able to move a model from cloud to edge/mobile environments

  4. 04

    Summarize compression strategy

    Provides a consolidated view of a compression project including performance and economic metrics

One connector, every AI

AI Model Compression 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.

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 Compression 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

1064ms average. Fast in production.

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

Daily averagePeak 1103ms
Sep 5Today
Fastest day
925ms
Slowest day
1103ms
14-day trend
Improving-16%

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

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

AI Model Compression ROI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_dbOkEel8yZYRrZifTNersLDE2dh8CT0aycvEXa5K/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 Compression ROI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-model-compression-roi-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dbOkEel8yZYRrZifTNersLDE2dh8CT0aycvEXa5K/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 Compression ROI owners ask.

  • 01

    How do I calculate the ROI of a pruning technique?

    You can use the analyze_compression_roi capability. Provide the performance loss, the reduction in inference cost, the development cost, and the annual inference volume to get a detailed ROI analysis.

  • 02

    Does this capability account for long-term maintenance?

    Yes, the calculate_maintenance_impact capability estimates the recurring costs of re-compression cycles needed to keep models functional over time.

  • 03

    Can I evaluate moving a model to mobile devices?

    Yes, use evaluate_deployment_flexibility by specifying 'mobile' as the target hardware tier to quantify the economic benefit of expanding your market reach.

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