MCP For Claude Marketplace
Receiving Dock Capacity Calculator

Receiving Dock Capacity Calculator MCP Connector for Claude

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Analyze dock capacity, identify throughput bottlenecks, and optimize docking infrastructure.

4 tools Official Updated Jun 30, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides specialized tools for logistics managers to analyze receiving dock efficiency. By connecting your AI agent to this service via Vinkius Edge, you can use calculate_dock_utilization to determine workload against available time, detect_capacity_bottleneck to identify if constraints are due to window limits, service speed, or resource availability, and predict_vehicle_delay to estimate congestion-related wait times. Additionally, optimize_dock_allocation helps plan for future volumes by recommending the ideal number of docks needed to maintain target efficiency levels.

logisticsdock-managementthroughputcapacity-planningbottleneck-detection

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

detect_capacity_bottleneck

Analyzes the system to identify which specific factor is limiting throughput

calculate_dock_utilization

Determines how much of the available dock time is being used by the current vehicle volume

optimize_dock_allocation

g., 0.85). Recommends the ideal number of docks needed to handle current volume at a target efficiency level

predict_vehicle_delay

Estimates the average delay a vehicle might experience due to dock congestion

See how to talk to your AI agent using Receiving Dock Capacity Calculator.

Calculate the dock utilization for 5 docks, with an average unloading time of 30 minutes, a daily volume of 100 vehicles, and a delivery window from 8:00 to 17:00.

The total workload is 3000 minutes. With 5 docks available for 9 hours each (45 hours total), the utilization rate is 111.11%. This indicates an overloaded state where demand exceeds capacity.

What is the bottleneck if I have 10 docks, 20 minutes unloading time, 50 vehicles, and a window from 9:00 to 10:00?

The identified bottleneck is `WINDOW_LIMIT`. The delivery window is too short (60 minutes) to accommodate the required workload regardless of the number of docks.

How many docks do I need for 200 vehicles per day, 45 minute unloading time, a window from 7:00 to 18:00, and a target utilization of 85%?

To maintain an 85% utilization rate, you should allocate at least 13 docks. This will result in a projected efficiency of approximately 83.33%.

You can use the `detect_capacity_bottleneck` tool. It analyzes your dock count, unloading time, and delivery windows to determine if you are facing a `WINDOW_LIMIT`, `SERVICE_LIMIT`, or `RESOURCE_LIMIT`.

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