# Product Usage & Engagement Engine AI Agent Connect

> Analyze product stickiness, engagement scores, and user retention correlations.

## Overview
- **Category:** product-management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_IMtyKtVdvlYPnnZKaSgD803v7RS5yLMjhQH0E1pI/ai-agent-connect
- **Tags:** engagement, retention, metrics, product-health, user-behavior

## Description

This MCP server provides a specialized suite of analytical tools to measure product health and user behavior. It connects your AI agents to deep engagement metrics, allowing for automated analysis of stickiness, user interaction depth, and retention patterns. Use `get_stickiness_metrics` to calculate the DAU/MAU ratio, `calculate_engagement_score` to synthesize user activity into a single health metric, `analyze_retention_correlation` to see if engagement drives longevity, and `generate_power_user_distribution` to identify your most active user segments.

## Tools

### generate_power_user_distribution
Provides a breakdown of user activity levels to identify the power user density

### analyze_retention_correlation
Determines if higher engagement is effectively driving user retention

### calculate_engagement_score
Generates a single score representing the depth of user interaction

### get_stickiness_metrics
Calculates the product's daily stickiness ratio

## Prompt Examples

**Prompt:** 
```
What is the stickiness ratio for a product with 500 DAU and 5000 MAU?
```

**Response:** 
```
The stickiness ratio is 0.1, which represents a 10% stickiness level.
```

**Prompt:** 
```
Calculate the engagement score for a session lasting 15 minutes with 20 actions and a 0.5 feature adoption rate.
```

**Response:** 
```
The synthesized engagement score is 75, which falls into the High Engagement category.
```

**Prompt:** 
```
Analyze the correlation between these engagement scores [0.8, 0.6, 0.4] and retention rates [0.5, 0.3, 0.1].
```

**Response:** 
```
The correlation coefficient is 1.0, indicating a Strong and statistically significant relationship between engagement and retention.
```

## Frequently Asked Questions

**How do I calculate my product's stickiness?**
You can use the `get_stickiness_metrics` tool by providing your Daily Active Users (DAU) and Monthly Active Users (MAU).

**Can I identify my power users?**
Yes, the `generate_power_user_distribution` tool provides a breakdown of activity levels and identifies the ratio of power users within a 30-day window.

**How is the engagement score determined?**
The `calculate_engagement_score` tool synthesizes session duration, action density, and feature adoption rates into a single score.