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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Quantization Engine with your AI.

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

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 Quantization Engine capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Quantization Engine.

  1. 01

    Check hardware compatibility

    Validates if a specific quantization precision level can be executed on the intended hardware

  2. 02

    Evaluate accuracy impact

    Determines if the accuracy loss is acceptable within the context of the deployment target

  3. 03

    Find optimal precision

    Identifies the best precision level (e.g., FP16, INT8, INT4) by balancing cost, speed, and accuracy

  4. 04

    Get deployment savings

    Calculates the total monetary savings achieved by switching from a baseline model to a quantized version

One connector, every AI

AI Quantization Engine 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 Quantization Engine 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

970ms average. Fast in production.

AI Quantization Engine is checked daily against the live service.

Daily averagePeak 1097ms
Sep 5Today
Fastest day
909ms
Slowest day
1097ms
14-day trend
Improving-17%

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 Quantization Engine, so you can see the experience inside your AI.

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

AI Quantization Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_WMXF33rxvYjhT36OGw4KlQyAVwy0p3eYpyfyAFSL/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 Quantization Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-quantization-cost-benefit-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WMXF33rxvYjhT36OGw4KlQyAVwy0p3eYpyfyAFSL/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 Quantization Engine owners ask.

  • 01

    How can I calculate my monthly savings?

    You can use the get_deployment_savings capability by providing your current monthly cost, the expected model size reduction, and the projected inference speedup.

  • 02

    Can I check if INT4 is supported on mobile devices?

    Yes, use the check_hardware_compatibility capability with the precision level set to 'int4' and the hardware type set to your target device (e.g., 'Edge-Mobile').

  • 03

    How do I find the best balance between speed and accuracy?

    The find_optimal_precision capability is designed for this. It takes your target latency and accuracy budget into account to recommend the best precision level for your hardware.

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