Refinery Turnaround Planner

Refinery Turnaround Planner MCP Connector for Claude

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Optimize refinery turnaround schedules by analyzing critical paths, resource needs, and inspection impacts.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized planning tools for refinery turnaround management. It allows AI agents to calculate the get_critical_path to identify scheduling bottlenecks, use calculate_resource_requirements to ensure contractor availability meets demand, and estimate_turnaround_duration to predict completion timelines. Additionally, it can simulate_scope_expansion to evaluate how unexpected inspection findings might delay the entire operation.

refinerymaintenanceschedulingcritical-pathresource-optimization

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

calculate_resource_requirements

Estimates the total man-hours and equipment needs based on the scope

estimate_turnaround_duration

Predicts the total time needed to complete the turnaround, accounting for potential inspection-driven delays

get_critical_path

Identifies the sequence of tasks that dictates the total turnaround duration

simulate_scope_expansion

Evaluates how the critical path and duration change when new inspection findings are added

See how to talk to your AI agent using Refinery Turnaround Planner.

What is the critical path for my current maintenance scope and dependencies?

The critical path consists of tasks T1, T4, and T7, with a total duration of 14 days. The bottleneck is task T4.

Will we have enough welders for this turnaround?

No, there is a shortfall of 3 welders during the peak demand period in week 2.

Estimate the turnaround duration if we expect some extra inspection findings.

The estimated duration is 22 days, including a 4-day buffer for expected inspection findings.

The `get_critical_path` tool analyzes the sequence of dependent tasks to find the longest chain of activities that determines the total turnaround duration.

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