# Plant Availability Model AI Agent Connect

> Model industrial plant availability, reliability, and production capacity.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Ebsz1l3LM9DMrJ7SHjmqKm8QCatTL7Tc90YzlLD9/ai-agent-connect
- **Tags:** reliability, availability, maintenance, production, mtbf

## Description

This MCP connects AI agents to industrial reliability data. It provides tools to calculate plant availability, retrieve reliability metrics like MTBF, predict production derating due to equipment health, and analyze utilization efficiency. Use `calculate_plant_availability` to assess total uptime or `get_reliability_metrics` to evaluate specific assets.

## Tools

### calculate_plant_availability
Calculate the current or projected availability percentage of the entire plant

### get_reliability_metrics
Get reliability metrics for a specific piece of equipment based on failure history

### predict_production_derating
Predict how much production capacity will drop due to equipment health and maintenance

### analyze_utilization_efficiency
Analyze how effectively the available capacity of a piece of equipment is being used

## Prompt Examples

**Prompt:** 
```
What is the current availability for equipment IDs EQ-101 and EQ-102 from 2024-01-01 to 2024-01-31?
```

**Response:** 
```
The current availability for the selected equipment is 92.5%, with 740 hours of uptime and 52 hours of total downtime.
```

**Prompt:** 
```
How reliable is equipment EQ-500 based on the last 180 days?
```

**Response:** 
```
Equipment EQ-500 has an MTBF of 450 hours, with 2 recorded failures and 1200 total operating hours in the last 180 days.
```

**Prompt:** 
```
How much will production capacity drop for EQ-200 over the next 7 days?
```

**Response:** 
```
The expected capacity loss for EQ-200 over the next 7 days is 5% due to scheduled maintenance.
```

## Frequently Asked Questions

**How is plant availability calculated?**
Availability is calculated by aggregating the uptime of all selected equipment against the total elapsed time in the specified period, accounting for both planned and unplanned downtime.

**Can I predict future production losses?**
Yes, you can use the `predict_production_derating` tool to project how much capacity will drop based on equipment health and scheduled maintenance.

**What is MTBF?**
MTBF (Mean Time Between Failures) is a statistical measure of reliability representing the average time elapsed between one failure and the next.