Does this MCP account for AI costs?

Yes, it treats AI inference as a primary variable cost. This is crucial because traditional models often ignore the true cost of running AI features, leading to inaccurate LTV calculations.

What kind of data do I need to provide?

You need core metrics like Average Revenue Per User (ARPU), Customer Acquisition Cost (CAC), and details on your retention rates and AI usage costs.

Is this just a calculator, or can it model changes?

It's more than a calculator. You can use the cost sensitivity capability to model how changes in AI model efficiency or usage intensity affect your overall LTV.

Can I check if my business model is healthy?

Absolutely. The MCP includes a capability that validates your unit economics against established industry standards, giving you a clear assessment of your health.

How does this differ from traditional SaaS LTV models?

Unlike traditional models, this engine explicitly accounts for variable AI inference costs as a core component of COGS, directly impacting the gross margin and LTV.

Can I simulate the impact of cheaper AI models?

Yes, you can use the simulate_ai_cost_sensitivity capability to see how a percentage change in AI costs affects your total LTV.

What is considered a healthy LTV:CAC ratio?

The validate_unit_economics_health capability uses industry standards where an LTV:CAC ratio above 3.0 is generally considered healthy.

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Connect AI SAAS Unit Economics 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. See exactly how AI costs affect your profitability.

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.

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.

V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI SaaS Unit Economics.

01
Calculate ltv metrics
Provides a complete snapshot of LTV, including the LTV:CAC ratio and the specific impact of AI costs
02
Get retention scenarios
Helps users understand how different retention levels impact the business viability
03
Simulate AI cost sensitivity
Answers how changes in AI model efficiency or usage intensity affect the overall LTV
04
Validate unit economics health
Answers whether the current unit economics are "healthy" based on industry standards

Real work

What teams actually run

Pricing Strategy Review

Before changing your pricing, run the LTV metrics to see how the adjustment affects your LTV:CAC ratio.

AI Cost Spike Analysis

If your AI usage suddenly increases, use the cost sensitivity capability to quantify the exact drop in LTV.

Feature Launch Planning

Test a new feature's viability by simulating its expected usage and checking the resulting unit economics health.

Investor Due Diligence

Generate a report showing LTV and retention scenarios to prove the long-term viability of your model.

One connector, every AI

AI SaaS Unit Economics 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 SaaS Unit Economics 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

929ms average. Fast in production.

AI SaaS Unit Economics is checked daily against the live service.

Daily averagePeak 1102ms

Oct 3Today

Fastest day: 764ms
Slowest day: 1102ms
14-day trend: Stable-2%

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 SaaS Unit Economics, so you can see the experience inside your AI.

It does not authenticate your account with AI SaaS Unit Economics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI SaaS Unit Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qXh0KY8VDx43Fnzm4cEQI9CQOrtcwPKPSVcqNrhL/mcp

Claude 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 SaaS Unit Economics capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-saas-unit-economics-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qXh0KY8VDx43Fnzm4cEQI9CQOrtcwPKPSVcqNrhL/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 SaaS Unit Economics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI SaaS Unit Economics owners hand off.

This MCP is essential for founders, CFOs, and product managers running AI-powered SaaS. If your business model relies on complex, variable AI costs, you need this to accurately forecast profitability and measure true unit value.

01
Founders
Use this to validate your core business assumptions and understand how AI costs impact runway.
02
CFOs
Run detailed unit economics reports to accurately forecast profitability and assess investment risk.
03
Product Managers
Test new features by simulating their potential impact on LTV before writing a line of code.

FAQ

Questions AI SaaS Unit Economics owners ask.

01
Does this MCP account for AI costs?
Yes, it treats AI inference as a primary variable cost. This is crucial because traditional models often ignore the true cost of running AI features, leading to inaccurate LTV calculations.
02
What kind of data do I need to provide?
You need core metrics like Average Revenue Per User (ARPU), Customer Acquisition Cost (CAC), and details on your retention rates and AI usage costs.
03
Is this just a calculator, or can it model changes?
It's more than a calculator. You can use the cost sensitivity capability to model how changes in AI model efficiency or usage intensity affect your overall LTV.
04
Can I check if my business model is healthy?
Absolutely. The MCP includes a capability that validates your unit economics against established industry standards, giving you a clear assessment of your health.
05
How does this differ from traditional SaaS LTV models?
Unlike traditional models, this engine explicitly accounts for variable AI inference costs as a core component of COGS, directly impacting the gross margin and LTV.
06
Can I simulate the impact of cheaper AI models?
Yes, you can use the simulate_ai_cost_sensitivity capability to see how a percentage change in AI costs affects your total LTV.
07
What is considered a healthy LTV:CAC ratio?
The validate_unit_economics_health capability uses industry standards where an LTV:CAC ratio above 3.0 is generally considered healthy.

Explore

More in Finance

Connect AI SaaS Unit Economics to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate ltv metrics

Get retention scenarios

Simulate AI cost sensitivity

Validate unit economics health

What teams actually run

Pricing Strategy Review

AI Cost Spike Analysis

Feature Launch Planning

Investor Due Diligence

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

AI SaaS Unit Economics Connector

Claude Desktop

Founders

CFOs

Product Managers

Does this MCP account for AI costs?

What kind of data do I need to provide?

Is this just a calculator, or can it model changes?

Can I check if my business model is healthy?

How does this differ from traditional SaaS LTV models?

Can I simulate the impact of cheaper AI models?

What is considered a healthy LTV:CAC ratio?

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