Use AI Automation ROI Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. 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.
Complete set · 4 capabilities
The complete AI Automation ROI Engine capability set.
These are the exact actions your AI can choose when you ask it to work with AI Automation ROI Engine.
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.
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.
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? link.label
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.
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