How to Use the LTV:CAC Calculator MCP in Cursor

Get live financial context into your Cursor coding flow with the LTV:CAC Calculator MCP Server.

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Connect LTV:CAC Calculator MCP to Cursor

Create your Vinkius account to connect LTV:CAC Calculator to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup LTV:CAC Calculator with Cursor

Ask AI about this MCP

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Claude

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Gemini

Grok

Calculate CAC per marketing channel

While you're writing code, figure out if your acquisition channels are viable. The `calculate_cac` tool takes an array of objects detailing spending and customers from various channels. It surfaces the actual cost-per-customer right where you need it. This means no context switching to a spreadsheet just to run basic marketing math. You can build logic that factors in these real API responses directly into your application's requirements.

Determine Customer Lifetime Value (LTV)

Need LTV for feature pricing or subscription models? Use `calculate_ltv` to model the long-term value. You pass in ARPU, margin percentage, and churn rate, and it spits out a usable figure. It’s perfect for when you're writing code that needs to make decisions based on predicted customer lifespan, not just initial sign-up data.

Evaluate overall profitability ratio

The `evaluate_profitability` tool synthesizes the LTV and CAC outputs. It generates the final ratio and payback period, giving your agent live context for decision-making. You get a clear verdict on whether scaling is mathematically sound. This capability helps you write code that handles financial checks before committing to an expensive feature or acquisition path.

Setup guide

Set up LTV:CAC Calculator MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the LTV:CAC Calculator MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent LTV:CAC Calculator transactions." If the MCP tools are loaded correctly, Cursor will call the LTV:CAC Calculator tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "ltvcac-calculator-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LTV:CAC Calculator API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about LTV:CAC Calculator MCP in Cursor

It lets your AI agent call real-time data calculations and inject those results directly into the code you're writing. You stop mocking financial data and start coding with truth.

For CAC, it needs channel names, total spending figures, and customer counts. For LTV, you pass ARPU, gross margin percentage, and churn rate into the appropriate functions.

Yes. All credentials are managed via a zero-trust proxy in Vinkius. The keys only exist during transit for the MCP call; they never reside on your machine or disk.

This tool handles numerical financial data, specifically spending (currency), customer counts (integers), and rate percentages (floats).

Definitely. You can build test cases where the agent calls the MCP tools first, gets a verifiable verdict, and then uses that result to determine the next lines of code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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