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Connect AI Compute Supply Chain Risk Engine to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Know your compute vulnerabilities before they stop your launch.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Compute Risk Engine.

  1. 01

    Calculate supply risk

    Provides a high-level assessment of the current risk level for a specific compute profile

  2. 02

    Compare supplier profiles

    Evaluates which supplier provides the most stable supply chain profile

  3. 03

    Estimate alternative costs

    Determines the financial impact of switching to secondary compute providers during a supply crunch

  4. 04

    Generate hedging strategy

    Recommends actionable steps to mitigate identified supply chain risks

Real work

What teams actually run

01

Preparing for a major product launch

Before a launch, run the risk assessment to ensure your compute capacity won't be limited by GPU scarcity or lead times.

02

Evaluating vendor contracts

Use the MCP to compare a new potential supplier against your current ones, ensuring the best long-term stability.

03

Budgeting for cloud migration

Estimate the alternative costs of moving your entire workload to a secondary cloud provider during a regional outage.

04

Responding to market volatility

When a major component shortage is announced, use the MCP to immediately generate a multi-cloud redundancy plan.

One connector, every AI

AI Compute 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 Compute 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

935ms average. Fast in production.

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

Daily averagePeak 1114ms
Oct 3Today
Fastest day
709ms
Slowest day
1114ms
14-day trend
Stable-3%

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

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

AI Compute Risk Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_alavHMDDkb1PpgTrfmFF2dXKYLF4TgocPbPUm1cW/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 Compute Risk Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-compute-supply-chain-risk-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_alavHMDDkb1PpgTrfmFF2dXKYLF4TgocPbPUm1cW/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? Set up AI Compute Risk Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Compute Risk Engine owners hand off.

This MCP is essential for anyone managing large-scale AI infrastructure. If your job involves planning for hardware procurement or managing multi-cloud dependencies, this capability gives you the data you need to avoid costly delays.

  • 01

    CTO

    Use this MCP to get a high-level view of overall compute risk and guide major infrastructure decisions.

  • 02

    Supply Chain Manager

    Run comparisons between hardware vendors and model the financial impact of potential supply disruptions.

  • 03

    AI Infrastructure Engineer

    Determine the best hedging strategy and ensure multi-cloud redundancy for mission-critical workloads.

FAQ

Questions AI Compute Risk Engine owners ask.

  • 01

    What kind of data does this MCP analyze?

    It analyzes key supply chain metrics, including GPU scarcity indices, supplier lead times, and your current cloud dependency levels. It focuses on the vulnerabilities inherent in AI hardware procurement.

  • 02

    Can this help me choose a new cloud provider?

    Yes. The MCP includes a capability to compare supplier profiles, helping you evaluate which hardware vendor offers the most stable supply chain. It also estimates the cost of switching providers.

  • 03

    What is the output of the risk assessment?

    The output is a normalized threat level and a risk score. This gives you a clear, quantifiable measure of your current compute vulnerability.

  • 04

    Is this just a report, or does it give me solutions?

    It provides solutions. The generate_hedging_strategy capability takes your identified risks and recommends actionable mitigation plans, such as establishing multi-cloud redundancy.

  • 05

    Does this work with all AI clients?

    Since it's hosted on Vinkius, you connect once from any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    How is the supply risk score calculated?

    The score is an aggregate of GPU scarcity, supplier lead times, and the impact of cloud dependency on your ability to pivot resources.

  • 07

    Can I use this to plan for GPU shortages?

    Yes, by using generate_hedging_strategy, you can receive specific tactical steps like Advance Procurement to mitigate hardware shortages.

  • 08

    What is the difference between hardware and cloud risk?

    Hardware risk focuses on physical procurement and lead times, while cloud risk focuses on provider availability and pricing volatility based on your cloud dependency.

Explore

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