
Connect AI Automation ROI Engine 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. Get hard numbers on your automation project viability.
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 Automation ROI Engine.
- 01
Calculate automation roi
This capability generates a full financial breakdown for a specific automation project. It provides the core metrics needed to see if the math works.
- 02
Compare automation options
Use this to rank different automation proposals against each other. It identifies which investment offers the best efficiency.
- 03
Get risk sensitivity analysis
This capability checks how much your project's success depends on specific risks. It shows how sensitive your returns are to potential disruptions.
- 04
Simulate adoption scenarios
This capability models how different levels of employee buy-in change your results. It helps you see how adoption speed impacts cost recovery.
Real work
What teams actually run
Budget Approval
Generate a formal ROI report to present to leadership for a new software purchase.
Risk Assessment
Test how a high disruption risk might turn a profitable project into a loss.
Vendor Comparison
Compare two different automation vendors to see which one pays for itself faster.
Implementation Planning
Use adoption simulations to set realistic expectations for when savings will actually hit the books.
One connector, every AI
AI Automation ROI 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 AI Automation ROI 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
856ms average. Fast in production.
AI Automation ROI Engine is checked daily against the live service.
- Fastest day
- 717ms
- Slowest day
- 1215ms
- 14-day trend
- Slowing+43%
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 Automation ROI Engine, so you can see the experience inside your AI.
It does not authenticate your account with AI Automation ROI Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Automation ROI Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1VZVnCBmChBnnNEjLGgIAj3EzL3odUrbVOavDXTK/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 Automation ROI Engine capabilities are ready to use.
{
"mcpServers": {
"ai-automation-roi-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1VZVnCBmChBnnNEjLGgIAj3EzL3odUrbVOavDXTK/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 Automation ROI Engine in Claude and other AIs
Who it's for
Built for the work AI Automation ROI Engine owners hand off.
This MCP is built for professionals who need to justify automation spend with hard data. It bridges the gap between technical ideas and financial reality.
- 01
Finance Managers
They use the agent to run NPV and risk-adjusted return models for new tech spend.
- 02
Operations Leaders
They hand off workflow data to the agent to see if automation actually saves time and money.
- 03
Automation Engineers
They use the capability to provide financial proof to stakeholders before starting a build.
FAQ
Questions AI Automation ROI Engine owners ask.
- 01
What kind of financial metrics does this MCP provide?
It calculates Net Present Value (NPV), payback periods, and risk-adjusted returns for your automation projects.
- 02
Can I compare two different automation capabilities?
Yes, you can use the compare_automation_options capability to rank multiple proposals based on their efficiency and returns.
- 03
How does the MCP handle project risk?
The get_risk_sensitivity_analysis capability determines how sensitive your project's viability is to changes in disruption risk.
- 04
Does this account for how long it takes employees to use the new capability?
Yes, the simulate_adoption_scenarios capability evaluates how different levels of employee adoption affect the speed of cost recovery.
- 05
Which AI clients can I use this with?
You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.
- 06
How does the capability account for implementation delays?
The calculate_automation_roi capability treats the implementation timeline as a period of negative cash flow, ensuring the NPV reflects the delay in realizing savings.
- 07
Can I compare multiple automation proposals at once?
Yes, you can use compare_automation_options to rank multiple proposals based on their risk-adjusted return.
- 08
What is the purpose of the sensitivity analysis?
The get_risk_sensitivity_analysis capability determines how volatile the ROI is relative to changes in disruption risk, helping identify the maximum risk threshold for a project.
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Connect AI Automation ROI Engine to Claude, Cursor, ChatGPT & more
