How to Use the LTV:CAC Calculator MCP in Claude Code

Run LTV:CAC calculations in the terminal. For Claude Code and CI/CD pipelines.

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Connect LTV:CAC Calculator MCP to Claude Code

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Setup LTV:CAC Calculator with Claude Code

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Calculate CAC from Scripts

Need to audit marketing spend without a GUI? Use `calculate_cac` via your agent. Pipe JSON data containing channel names, total spends, and new customers acquired directly into the command line for instant cost per acquisition results. This is perfect for scripting complex reports where you're running jobs in Docker or GitHub Actions.

Project LTV via Terminal

Run `calculate_ltv` from your shell script. You just need to supply ARPU, the churn rate, and gross margin percentage as arguments. The output is clean, machine-readable text showing the calculated Lifetime Value. This makes it easy to feed LTV directly into a subsequent step in a CI/CD pipeline for final evaluation.

Final Profitability Verdict

The `evaluate_profitability` tool closes the loop. Feed it your calculated LTV and CAC metrics, and the terminal spits out the ratio, payback period, and a definitive profitability verdict. Because it runs headless, you can pipe this final assessment into logging systems or trigger notifications based on the returned status code.

Setup guide

Set up LTV:CAC Calculator MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see ltvcac-calculator-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest LTV:CAC Calculator transactions." It will automatically discover and invoke the available LTV:CAC Calculator tools.

Terminal

claude mcp add --transport http ltvcac-calculator-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the LTV:CAC Calculator MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "ltvcac-calculator-mcp": {
      "type": "url",
      "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 Claude Code

It integrates by running as a command-line utility. Your script calls your agent, passing structured inputs via stdio or HTTP transport to get the financial results you need.

Yes. This is exactly what it's built for. You can include it in a build step, ensuring that before deployment, your acquisition costs meet minimum profitability thresholds.

It manages core financial metrics like total spend, new customers acquired, ARPU, gross margin percentage, and the calculated ratios (LTV:CAC).

Very reliable. Since it runs in a controlled environment through Vinkius's MCP, the inputs are processed with explicit data types and the output is guaranteed to be machine-readable.

The terminal nature means you don't care about the front end. You just run one command, guaranteeing consistency whether it’s a staging environment or production deployment.

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