Use Infra Risk Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Quantifies financial vulnerability by analyzing revenue distribution and customer stability.
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 Infra Risk Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Infra Risk Engine.
01-04
4 capabilities in this set.
Part of 4 available through Infra Risk Engine.
- 01
Analyze revenue distribution
Provides a detailed breakdown of how revenue is distributed across the customer base
- 02
Calculate hhi
Quantifies the level of revenue concentration using the HHI method
- 03
Calculate top ten concentration
Determines the total revenue exposure concentrated within the largest ten clients
- 04
Evaluate risk score
Generates a holistic risk score by adjusting concentration metrics with contract stability and switching costs
One connector, every AI
Infra 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 Infra 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
1045ms average. Fast in production.
Infra Risk Engine is checked daily against the live service.
- Fastest day
- 1045ms
- Slowest day
- 1045ms
- 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 Infra Risk Engine, so you can see the experience inside your AI.
It does not authenticate your account with Infra Risk Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Infra Risk Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_9DjqGfRzsaNt3aXuGm5CWZLrh7qvPoMYB67XHqe1/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 — Infra Risk Engine capabilities are ready to use.
{
"mcpServers": {
"infra-customer-concentration-risk-mcp": {
"url": "https://edge.vinkius.com/vk_preview_9DjqGfRzsaNt3aXuGm5CWZLrh7qvPoMYB67XHqe1/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
FAQ
Questions Infra Risk Engine owners ask.
- 01
What is the HHI index?
The Herfindahl-Hirschman Index (HHI) is a statistical measure of revenue concentration. You can calculate it using the calculate_hhi capability.
- 02
How does contract duration affect the risk score?
Longer contract durations act as a buffer, reducing the overall risk score when processed through evaluate_risk_score.
- 03
Can I see a breakdown of my customer tiers?
Yes, the analyze_revenue_distribution capability provides a tier breakdown including Whale, Key Accounts, and Fragmented customers.
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