How do I specify a cohort for analysis?

You provide the acquisition month in YYYY-MM format to the fetch_cohort_metrics capability.

What kind of projections can this MCP perform?

The generate_ltv_projections capability performs both linear and logarithmic extrapolation for up to 36 months.

Can I calculate LTV for specific months?

Yes, the calculate_cumulative_ltv capability allows you to specify target milestones as months after acquisition.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Do I need to provide my own revenue data?

The fetch_cohort_metrics capability retrieves the accumulated monthly revenue for you based on the cohort month you provide.

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.

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.

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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Connect LTV Cohort Calculator to ChatGPT, Claude and Gemini

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. Turn raw cohort data into accurate revenue projections.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through LTV Cohort Calculator Service.

01
Generate ltv projections
This capability projects LTV up to 36 months using linear or logarithmic extrapolation. You provide the historical data as a JSON array containing periodIndex and accumulatedRevenueValue.
02
Calculate cumulative ltv
This capability calculates the total accumulated LTV for a cohort at specific monthly milestones. You define the milestones as the number of months following the initial acquisition.
03
Fetch cohort metrics
This capability retrieves raw accumulated monthly revenue for a specific cohort. You specify the acquisition month in YYYY-MM format and can choose how many months of history to pull.

Real work

What teams actually run

Long-term Forecasting

Project how a new cohort will perform over the next three years using logarithmic extrapolation.

Cohort Health Checks

Check the cumulative LTV of a specific month's users at 3, 6, or 12-month intervals.

Trend Analysis

Compare the revenue growth of different acquisition months to identify high-value periods.

Budget Planning

Use 36-month projections to determine how much can be spent on customer acquisition.

Automate a task

Put LTV Cohort Calculator Service to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

LTV Cohort Calculator Service 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 LTV Cohort Calculator Service 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

716ms average. Fast in production.

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

Daily averagePeak 1029ms

Oct 3Today

Fastest day: 551ms
Slowest day: 1029ms
14-day trend: Slowing+21%

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.

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 — 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

Guided setup for Claude? Set up LTV Cohort Calculator Service in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LTV Cohort Calculator Service owners hand off.

This MCP is built for finance and growth teams who need to move from raw data to actionable cohort insights using AI.

01
Growth Analysts
They hand off cohort acquisition months to the AI to model long-term value.
02
Finance Managers
They use the capability to generate 36-month revenue projections for budgeting.
03
Data Scientists
They use the extrapolation capabilities to validate revenue trends against historical data.

FAQ

Questions LTV Cohort Calculator Service owners ask.

01
How do I specify a cohort for analysis?
You provide the acquisition month in YYYY-MM format to the fetch_cohort_metrics capability.
02
What kind of projections can this MCP perform?
The generate_ltv_projections capability performs both linear and logarithmic extrapolation for up to 36 months.
03
Can I calculate LTV for specific months?
Yes, the calculate_cumulative_ltv capability allows you to specify target milestones as months after acquisition.
04
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
05
Do I need to provide my own revenue data?
The fetch_cohort_metrics capability retrieves the accumulated monthly revenue for you based on the cohort month you provide.
06
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.
07
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.
08
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.

Explore

More in Data Analytics

Connect LTV Cohort Calculator Service 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.

01-03

Generate ltv projections

Calculate cumulative ltv

Fetch cohort metrics

What teams actually run

Long-term Forecasting

Cohort Health Checks

Trend Analysis

Budget Planning

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

LTV Cohort Calculator Service Connector

Claude Desktop

Growth Analysts

Finance Managers

Data Scientists

How do I specify a cohort for analysis?

What kind of projections can this MCP perform?

Can I calculate LTV for specific months?

Which AI clients can use this MCP?

Do I need to provide my own revenue data?

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

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

What inputs are required for LTV projections?

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