Use AI Compute Risk Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Know your compute vulnerabilities before they stop your launch.
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.
Complete set · 4 capabilities
The complete AI Compute Risk Engine capability set.
These are the exact actions your AI can choose when you ask it to work with AI Compute Risk Engine.
01-04
4 capabilities in this set.
Part of 4 available through AI Compute Risk Engine.
- 01
Calculate supply risk
Provides a high-level assessment of the current risk level for a specific compute profile
- 02
Compare supplier profiles
Evaluates which supplier provides the most stable supply chain profile
- 03
Estimate alternative costs
Determines the financial impact of switching to secondary compute providers during a supply crunch
- 04
Generate hedging strategy
Recommends actionable steps to mitigate identified supply chain risks
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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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
967ms average. Fast in production.
AI Compute Risk Engine is checked daily against the live service.
- Fastest day
- 967ms
- Slowest day
- 967ms
- 14-day trend
- Stable0%
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.
https://edge.vinkius.com/vk_preview_alavHMDDkb1PpgTrfmFF2dXKYLF4TgocPbPUm1cW/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI Compute Risk Engine capabilities are ready to use.
{
"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? link.label
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.
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