# Sleep Quality Index Calculator AI Agent Connect

> Sleep Quality Index Calculator MCP converts physiological sleep metrics like duration, efficiency, and latency into a single, meaningful Sleep Quality Index (SQI). Instead of staring at raw numbers, you get a clear picture of your restorative health. Your AI client uses this data to identify patterns, compare your rest against adult benchmarks, and break down exactly where your sleep is failing or succeeding.

## Overview
- **Category:** health
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_mVNp7VrZcpjtGlbKRgJHxtJfQlIDyExrYsguSkhn/ai-agent-connect
- **Tags:** sleep, health-metrics, wellness-tracking, biometrics, sleep-analysis

## Description

You can stop guessing how well you actually rested. This MCP takes the raw numbers from your sleep tracking data and runs them through a diagnostic framework to produce a Sleep Quality Index (SQI). It looks at the variables that actually matter, such as how long it took you to fall asleep, how many times you woke up, and your overall sleep efficiency. 

Once you connect this to your AI client, you can move beyond simple logs. You can ask your agent to check if your recent sleep patterns are deviating from healthy adult norms or if your restorative scores are dropping over time. It's a way to turn a list of timestamps and durations into a clear understanding of your physical recovery. Whether you're looking at a single night's performance or tracking shifts across a month, this MCP provides the math to back up your observations.

## Tools

### analyze_sleep_trends
This tool tracks how your sleep quality shifts over time. It identifies historical patterns and long-term changes in your rest.

### calculate_current_sqi
This tool generates a specific sleep quality report for a single night. It processes your session data into a single score.

### compare_to_norms
This tool checks your specific sleep metrics against standard benchmarks for healthy adults. It tells you if your numbers fall within a normal range.

### get_subcomponent_breakdown
This tool provides a granular look at individual sleep dimensions. It breaks down your session into continuity and restorative scores.

## Prompt Examples

**Prompt:** 
```
Calculate my sleep quality for a session where I was in bed for 480 minutes, slept for 420 minutes, took 20 minutes to fall asleep, woke up 1 time, and gave a depth score of 8.
```

**Response:** 
```
Your Sleep Quality Index is 88/100. Your sleep efficiency is high, and your continuity is excellent.
```

**Prompt:** 
```
Is a sleep latency of 45 minutes considered normal for an adult?
```

**Response:** 
```
A latency of 45 minutes is considered 'Long' as it exceeds the standard healthy range for most adults.
```

**Prompt:** 
```
Give me a breakdown of my sleep components for a session with 400 minutes of sleep, 450 minutes in bed, 2 awakenings, and a depth score of 6.
```

**Response:** 
```
Your continuity score is 75, your efficiency score is 89, and your restorative score is 60.
```

## Capabilities

### Single Session Scoring
Your agent uses this to turn one night of data into a single SQI score.

### Benchmark Comparison
Your agent compares your personal metrics against healthy adult standards.

### Trend Identification
Your agent looks at your historical data to find shifts in sleep quality.

### Granular Dimension Analysis
Your agent breaks down a score into continuity and restorative components.

## Use Cases

### Daily Sleep Audits
You provide your nightly stats to your agent to get an immediate SQI score.

### Long-term Trend Monitoring
You ask your agent to analyze your sleep data from the last month to see if quality is improving.

### Health Benchmarking
You check if your sleep latency or duration is within the healthy range for adults.

### Deep Dive Analysis
You request a subcomponent breakdown to see if your issues stem from continuity or restorative depth.

## Benefits

- Converts raw physiological numbers into a single Sleep Quality Index.
- Identifies historical shifts in sleep patterns over time.
- Compares individual metrics against established adult health benchmarks.
- Breaks down sleep quality into specific continuity and restorative scores.

## How It Works

Connecting this MCP to your AI client allows you to perform complex sleep math through simple natural language.

1. Connect the MCP to your AI client via Vinkius.
2. Provide your raw sleep metrics like duration, latency, and awakenings.
3. The AI uses the specific tools to process the numbers.
4. Your agent returns a Sleep Quality Index or a detailed breakdown.

## Frequently Asked Questions

**What is the Sleep Quality Index (SQI)?**
The SQI is a composite score that represents your overall sleep health by analyzing metrics like duration, efficiency, and latency.

**How does this MCP compare my sleep to others?**
It uses the compare_to_norms tool to evaluate your specific metrics against standard healthy adult benchmarks.

**Can I see why my sleep score was low?**
Yes, you can use the get_subcomponent_breakdown tool to see the specific scores for continuity and restorative health.

**Which AI clients can use this MCP?**
You can connect this MCP to any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**Does this tool track my sleep over time?**
Yes, the analyze_sleep_trends tool is designed to identify patterns and shifts in your sleep quality over a historical period.

**How is the Sleep Quality Index calculated?**
The index is a weighted aggregation of sleep efficiency, continuity (based on awakenings), and perceived sleep depth.

**Can I compare my sleep to healthy adult standards?**
Yes, you can use the `compare_to_norms` tool to check if specific metrics like latency or efficiency fall within established healthy ranges.

**How do I track my sleep improvements over time?**
You can use `analyze_sleep_trends` by providing a history of your past sleep sessions to identify direction, volatility, and primary drivers of change.