
Connect AI Red-Teaming Cost Structure to ChatGPT and Claude
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. Know the true ROI of your red-teaming efforts.
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.
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.

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.
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.
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.
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, helping you budget for remediation.
- 02
Calculate discovery metrics
Calculates how efficiently your team found vulnerabilities, giving you a metric for testing effectiveness.
- 03
Calculate redteaming roi
Evaluates the economic value of the red-teaming exercise by comparing costs to prevented losses.
- 04
Calculate total engagement cost
Determines the total financial outlay for a red-teaming exercise, factoring in labor and resources.
Real work
What teams actually run
Post-Breach Simulation Review
After a red-teaming exercise, run this MCP to calculate the total cost of the test versus the potential cost of a real breach.
Budget Justification
Before asking for more security funding, use this to model the ROI, proving the financial necessity of the program.
Vendor Comparison
Compare different security vendor proposals by running the total engagement cost calculation against their quoted prices.
Prioritizing Fixes
Use the remediation impact capability to prioritize which discovered flaws cost the most to fix, guiding development efforts.
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
903ms average. Fast in production.
AI Red-Teaming Cost Structure is checked daily against the live service.
- Fastest day
- 661ms
- Slowest day
- 1057ms
- 14-day trend
- Slowing+11%
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? Set up AI Red-Teaming Cost Structure in Claude and other AIs
Who it's for
Built for the work AI Red-Teaming Cost Structure owners hand off.
This MCP is essential for security leaders and financial analysts who need to justify security spending. If you're responsible for budgeting or reporting risk to executives, this capability translates technical findings into clear financial metrics. You'll stop arguing about risk and start presenting hard numbers.
- 01
Chief Information Security Officer (CISO)
Use it to justify budget increases by showing the potential cost of inaction.
- 02
Risk Manager
Run it to quantify risk-avoidance value for board reports.
- 03
Financial Analyst
Use it to model the investment return of security initiatives.
FAQ
Questions AI Red-Teaming Cost Structure owners ask.
- 01
Does this MCP actually scan my code for vulnerabilities?
No, it doesn't scan code. This MCP is an economic modeling capability. It takes the results of your security scans or tests and calculates the financial impact and return on investment for those findings.
- 02
What kind of data does it need to calculate the ROI?
To calculate ROI, you need two main figures: the total cost of the red-teaming exercise, and an estimate of the potential financial loss if a breach occurred.
- 03
Can I use this for general business budgeting?
It's specialized for security. While it handles costs, its formulas are built around red-teaming metrics, so stick to security-related financial modeling for the best results.
- 04
Is this MCP compatible with all AI clients?
Yes. Because it's hosted on Vinkius, you connect it once from any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 05
What does this capability calculate?
It calculates total engagement costs, vulnerability discovery efficiency, remediation expenses, and the economic ROI of red-teaming efforts.
- 06
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.
- 07
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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Connect AI Red-Teaming Cost Structure to Claude, Cursor, ChatGPT & more
