Plant Availability Model

Plant Availability Model MCP Connector for Claude

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Model industrial plant availability, reliability, and production capacity.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

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.

reliabilityavailabilitymaintenanceproductionmtbf

4 tools expose this connector's capabilities to your AI agent.

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

See how to talk to your AI agent using Plant Availability Model.

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

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

How reliable is equipment EQ-500 based on the last 180 days?

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

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

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

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.

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