ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Red-Teaming Cost Structure with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the financial investment and ROI of AI red-teaming engagements.

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 Red-Teaming Cost Structure capability set.

These are the exact actions your AI can choose when you ask it to work with AI Red-Teaming Cost Structure.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Red-Teaming Cost Structure.

  1. 01

    Estimate remediation impact

    Calculates the total cost required to fix all discovered issues

  2. 02

    Calculate discovery metrics

    Calculates how efficiently the team is finding vulnerabilities

  3. 03

    Calculate redteaming roi

    Evaluates the economic value of the red-teaming exercise

  4. 04

    Calculate total engagement cost

    Determines the total financial outlay for a red-teaming exercise

One connector, every AI

AI Red-Teaming Cost Structure 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.

Building your own app? The connector is yours to use.

You don't need a client to put AI Red-Teaming Cost Structure 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

934ms average. Fast in production.

AI Red-Teaming Cost Structure is checked daily against the live service.

Daily averagePeak 1482ms
Sep 5Today
Fastest day
854ms
Slowest day
1482ms
14-day trend
Improving-42%

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 Red-Teaming Cost Structure, so you can see the experience inside your AI.

It does not authenticate your account with AI Red-Teaming Cost Structure. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Red-Teaming Cost Structure Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_CPT6tN3fkbDivVPnFRb2OsK67hEXXUUAYEPsB0rW/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 Red-Teaming Cost Structure capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-red-teaming-cost-structure-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CPT6tN3fkbDivVPnFRb2OsK67hEXXUUAYEPsB0rW/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 Red-Teaming Cost Structure owners ask.

  • 01

    What does this capability calculate?

    It calculates total engagement costs, vulnerability discovery efficiency, remediation expenses, and the economic ROI of red-teaming efforts.

  • 02

    How is ROI determined?

    ROI is calculated by comparing the estimated risk-avoidance value (the cost of prevented breaches) against the total cost of the red-teaming engagement.

  • 03

    Can I use this with Claude Desktop?

    Yes, this MCP server can be connected to Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.