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.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
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.
01-04
4 capabilities in this set.
Part of 4 available through AI Red-Teaming Cost Structure.
- 01
Estimate remediation impact
Calculates the total cost required to fix all discovered issues
- 02
Calculate discovery metrics
Calculates how efficiently the team is finding vulnerabilities
- 03
Calculate redteaming roi
Evaluates the economic value of the red-teaming exercise
- 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.
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 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.
- 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.
https://edge.vinkius.com/vk_preview_CPT6tN3fkbDivVPnFRb2OsK67hEXXUUAYEPsB0rW/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 Red-Teaming Cost Structure capabilities are ready to use.
{
"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
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.
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