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Connect AI Cyber Risk Assessment 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. Turn technical AI vulnerabilities into clear financial risk data.

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 Cyber Risk Assessment.

  1. 01

    Analyze attack vectors

    This capability identifies which specific AI vulnerabilities are driving your current risk levels. It pinpoints critical paths like prompt injection or model inversion based on your model type.

  2. 02

    Calculate risk score

    This capability provides a high level assessment of your current cyber risk. It gives your agent a single number to represent the overall threat level.

  3. 03

    Recommend security investment

    This capability determines the specific funding needed to mitigate your identified risks. It helps you plan your security budget around actual needs.

  4. 04

    Estimate loss exposure

    This capability translates technical security risks into potential financial impact. It calculates expected losses in Euros to help you understand the stakes.

Real work

What teams actually run

01

Pre-deployment Audits

Run a risk assessment on a new model before it goes live to find critical vulnerabilities.

02

Security Budgeting

Calculate exactly how much money is needed to move a risk score from a critical level to a manageable one.

03

Financial Risk Reporting

Translate a high risk score into a potential loss amount for executive reporting.

04

Vulnerability Deep Dives

Use attack vector analysis to understand if your model is specifically prone to inversion or injection.

One connector, every AI

AI Cyber Risk Assessment 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 Cyber Risk Assessment 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

901ms average. Fast in production.

AI Cyber Risk Assessment is checked daily against the live service.

Daily averagePeak 1102ms
Oct 3Today
Fastest day
747ms
Slowest day
1102ms
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 Cyber Risk Assessment, so you can see the experience inside your AI.

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

AI Cyber Risk Assessment Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Y6JmtaeEehxIAjCLjafu7hlOBUeZ2qAp6M4c5nzk/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 Cyber Risk Assessment capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-cyber-risk-assessment-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Y6JmtaeEehxIAjCLjafu7hlOBUeZ2qAp6M4c5nzk/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 Cyber Risk Assessment in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Cyber Risk Assessment owners hand off.

This MCP is built for professionals managing the intersection of AI deployment and corporate security.

  • 01

    AI Security Engineers

    They use the capability to identify specific attack vectors and validate mitigation strategies.

  • 02

    CISO and Risk Officers

    They use the financial exposure data to report risk to the board in Euro terms.

  • 03

    Product Managers

    They use the investment recommendations to justify security spend in their product roadmaps.

FAQ

Questions AI Cyber Risk Assessment owners ask.

  • 01

    What kind of AI risks does this MCP cover?

    It focuses on AI-specific threats, including prompt injection, model inversion, and data privacy risks.

  • 02

    How does it calculate financial loss?

    The capability translates technical risk scores and system value into a potential loss exposure expressed in Euros.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    Does this MCP provide specific budget numbers?

    Yes, the recommend_security_investment capability provides specific funding amounts needed to mitigate identified risks.

  • 05

    How is the risk score determined?

    The score is a high level assessment based on the model's attack surface and the effectiveness of your security controls.

  • 06

    How is the cyber risk score calculated?

    The calculate_risk_score capability determines the score by analyzing the intersection of the attack surface, model vulnerabilities, and data sensitivity, then adjusting for the effectiveness of existing security controls.

  • 07

    Can I estimate the financial impact of an AI breach?

    Yes, you can use estimate_loss_exposure to calculate the potential financial loss in Euros by providing the current risk score, the asset value, and the predicted incident frequency.

  • 08

    What kind of AI vulnerabilities can be analyzed?

    By using analyze_attack_vectors, you can identify critical paths such as prompt injection, adversarial evasion, or model inversion for various model types like LLMs or Diffusion models.

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