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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LTV Cohort Calculator Service with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate Customer Lifetime Value (LTV) for any acquisition cohort, projecting future revenue trends.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete LTV Cohort Calculator Service capability set.

These are the exact actions your AI can choose when you ask it to work with LTV Cohort Calculator Service.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through LTV Cohort Calculator Service.

  1. 01

    Generate ltv projections

    Historical metrics must be provided as a JSON array of objects with periodIndex and accumulatedRevenueValue fields. Project LTV at 36 months using linear and logarithmic extrapolation methods

  2. 02

    Calculate cumulative ltv

    Milestones are specified as months after acquisition. Calculate total accumulated LTV at fixed milestones for a cohort

  3. 03

    Fetch cohort metrics

    Use acquireMonth in YYYY-MM format and optionally specify how many months of history to retrieve. Fetch raw accumulated monthly revenues for a given acquisition cohort

Observed, not estimated

660ms average. Fast in production.

LTV Cohort Calculator Service is checked daily against the live service.

Daily averagePeak 902ms
Aug 20Today
Fastest day
526ms
Slowest day
902ms
14-day trend
Slowing+63%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 LTV Cohort Calculator Service, so you can see the experience inside your AI.

It does not authenticate your account with LTV Cohort Calculator Service. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LTV Cohort Calculator Service Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GGCMeMTzL8Bst0yqYODkrw0xT4JdelFGGHgW17vO/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LTV Cohort Calculator Service capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ltv-cohort-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GGCMeMTzL8Bst0yqYODkrw0xT4JdelFGGHgW17vO/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

FAQ

Questions LTV Cohort Calculator Service owners ask.

  • 01

    How do I get the raw historical revenue data needed for LTV calculations?

    Use the fetch_cohort_metrics capability. This function retrieves the accumulated monthly revenues for a specific cohort, providing the foundational time-series data required for all subsequent LTV analyses.

  • 02

    What is the difference between calculating LTV at fixed milestones (e.g., 6 months) and projecting future value?

    First, use calculate_cumulative_ltv to determine the exact LTV at fixed points (like 3 or 6 months). Then, if you need a longer-term forecast, feed those historical metrics into generate_ltv_projections. The projection capability uses advanced math to estimate value beyond observed data.

  • 03

    What inputs are required for LTV projections?

    The generate_ltv_projections capability requires two key pieces of information: the unique cohort identifier and a structured JSON array containing historical revenue metrics. This data is typically sourced from running fetch_cohort_metrics first.

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