Equipment Availability Analysis

Equipment Availability Analysis MCP Connector for Claude

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Quantify industrial equipment performance using availability, utilization, and OEE metrics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for industrial performance analysis. It allows AI agents to calculate critical manufacturing metrics including Availability, Utilization, and Overall Equipment Effectiveness (OEE). By processing operating hours, planned downtime, and unplanned downtime, the server helps identify production losses and equipment reliability. Use calculate_availability to check reliability, calculate_utilization to measure capacity usage, calculate_oee for total effectiveness, and summarize_downtime_impact to assess schedule disruptions.

oeeavailabilityutilizationindustrialmaintenance

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

calculate_availability

Calculate equipment availability

calculate_oee

Calculate Overall Equipment Effectiveness (OEE)

calculate_utilization

Calculate equipment utilization

summarize_downtime_impact

Summarize downtime impact

See how to talk to your AI agent using Equipment Availability Analysis.

Calculate the OEE if availability is 0.9, performance is 0.85, and quality is 0.98.

The Overall Equipment Effectiveness (OEE) is 74.97%.

The machine was scheduled for 480 minutes. There was 30 minutes of unplanned downtime. What is the availability?

The equipment availability is 93.75%.

Summarize the downtime impact for a 1000 minute shift with 50 minutes of planned downtime and 20 minutes of unplanned downtime.

The planned downtime ratio is 5%, the unplanned downtime ratio is 2%, and the total loss ratio is 7%.

You can use the `calculate_oee` tool. Provide the availability, performance rate, and quality rate as decimals between 0 and 1 to get the total OEE percentage.

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