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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Hardware Risk Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate hardware obsolescence risk and refresh investment for AI infrastructure.

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 Hardware Risk Engine capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Hardware Risk Engine.

  1. 01

    Determine timing strategy tool

    Determines the optimal moment to execute a hardware refresh

  2. 02

    Estimate refresh investment tool

    Estimates the capital expenditure required to replace existing capacity with next-gen hardware

  3. 03

    Calculate obsolescence risk tool

    Calculates the risk that current hardware becomes obsolete before its scheduled replacement

  4. 04

    Get hardware evolution forecast tool

    Provides historical and projected rates of change for specific GPU generations

One connector, every AI

AI Hardware Risk 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 Hardware Risk 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

948ms average. Fast in production.

AI Hardware Risk Engine is checked daily against the live service.

Daily averagePeak 1011ms
Sep 5Today
Fastest day
885ms
Slowest day
1011ms
14-day trend
Improving-12%

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

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

AI Hardware Risk Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ubWUj3SNzbyobadlL7rKDPH8dDjsYle4s8lszKc8/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 Hardware Risk Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-hardware-iteration-risk-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ubWUj3SNzbyobadlL7rKDPH8dDjsYle4s8lszKc8/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 Hardware Risk Engine owners ask.

  • 01

    How do I calculate the risk of my current GPUs becoming obsolete?

    You can use the calculate_obsolescence_risk capability. Provide the current GPU generation, the months remaining until the next-gen release, the expected performance uplift, and your standard refresh cycle. Capabilities available: calculate_obsolescence_risk_tool, estimate_refresh_investment_tool, determine_timing_strategy_tool.

  • 02

    Can this capability help with budgeting for new hardware?

    Yes, the estimate_refresh_investment capability calculates the total investment required for a refresh, accounting for performance improvements that might allow for fewer units.

  • 03

    How does the capability determine the best time to upgrade?

    The determine_timing_strategy capability weighs the risk of obsolescence against the cost of capital and current hardware utilization to recommend an action.

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