# Cohort Analysis MCP for customer data. AI Agent Connect

> Cohort Analysis MCP gives your AI client the ability to dig into customer lifecycle metrics. Instead of manually calculating churn or lifetime value, you can ask your agent to pull retention curves, measure decay rates, and adjust for seasonal shifts. It turns raw user data into actionable lifecycle insights through a few simple prompts.

## Overview
- **Category:** marketing
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Vu3X6g9KvOztCpQplJvR74O6BVoba7AZdOKyPGcQ/ai-agent-connect
- **Tags:** cohort, retention, ltv, churn, analytics

## Description

You can now give your AI client a direct line into your customer lifecycle metrics. This MCP lets you move past basic spreadsheets and ask your agent to perform complex cohort math. You can use it to see exactly how engagement drops off after a user joins or to figure out the total economic value a specific group brings to your business. 

If you need to know if your growth is real or just a seasonal spike, the MCP handles the math. It can calculate decay rates to show how fast you are losing users and apply seasonal adjustment factors to normalize your data. This means you can tell if a cohort has actually reached a steady state or if you are just seeing a temporary trend. It's built to help you understand the velocity of churn and the long term value of your user base without you having to write a single line of analysis code.

## Tools

### analyze_decay_rate
This tool measures how fast users are churning within a specific cohort.

### calculate_cohort_ltv
Use this to find the total economic value a specific group of users generates.

### get_retention_curve
This tool visualizes how engagement for a cohort drops off over time.

### get_seasonal_adjustment_factor
This tool provides a multiplier to account for behavioral changes caused by the time of year.

## Prompt Examples

**Prompt:** 
```
What is the retention curve for cohort C123 for monthly periods?
```

**Response:** 
```
The retention curve for cohort C123 shows 100% retention in month 0, 45% in month 1, and 20% in month 2.
```

**Prompt:** 
```
Calculate the LTV for cohort C456.
```

**Response:** 
```
The total lifetime value for cohort C456 is $5,250, which averages to $52.50 per user.
```

**Prompt:** 
```
Is cohort C789 stabilized?
```

**Response:** 
```
Yes, cohort C789 has stabilized because the decay rate stayed consistent over the last three periods.
```

## Capabilities

### Retention Visualization
Your agent uses this to map out how engagement fades for specific user groups.

### Economic Value Tracking
The AI calculates the total revenue impact of specific user cohorts.

### Churn Velocity Measurement
Your agent determines how quickly a cohort is losing members.

### Seasonal Normalization
The tool adjusts data to account for predictable yearly shifts in behavior.

### Stability Detection
Your agent checks if churn rates have leveled off for a specific group.

## Use Cases

### Measuring User Stickiness
Ask your agent to pull a retention curve to see if users are sticking around after the first month.

### Evaluating Marketing Spend
Use the LTV tool to see if the users acquired in a specific campaign are actually profitable.

### Predicting Churn Trends
Monitor the decay rate to catch rising churn before it becomes a major problem.

### Accounting for Holidays
Apply seasonal adjustment factors to see if a dip in engagement is just a holiday trend.

## Benefits

- Eliminates manual math for LTV and decay rate calculations.
- Provides seasonal context to prevent misinterpreting data trends.
- Turns raw cohort data into visual retention patterns via your AI client.
- Identifies when user churn has reached a steady state.

## How It Works

You connect the MCP to your preferred client and start asking questions about your user data.

1. Connect your AI client to the Vinkius hosted MCP.
2. Provide your data source or context to your agent.
3. Ask a specific question about a cohort's LTV, retention, or churn.
4. The agent executes the corresponding tool to perform the math.
5. Receive the calculated results or data trends directly in your chat.

## Frequently Asked Questions

**What AI clients can I use with this MCP?**
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect and start using the tools.

**Can this MCP help with seasonal data?**
Yes, it includes a tool to get seasonal adjustment factors so you can normalize your cohort data against yearly fluctuations.

**How does it calculate user churn?**
It uses the analyze_decay_rate tool to measure the velocity at which users leave a cohort.

**Is it possible to see if a cohort has stabilized?**
Yes, you can ask your agent to check if the decay rate has become consistent, which indicates a steady state.