Hawker Queue Time Calculator

Hawker Queue Time Calculator MCP Connector for Claude

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Predict wait times and optimal arrival windows for Singapore hawker centers.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic queue time estimation for Singapore hawker centers using Little's Law. It helps users decide if a wait is worth the 'chope' by calculating estimated wait times, queue velocity, and suggesting optimal arrival times to avoid peak crowds. Use estimate_wait_time to predict delays, suggest_arrival_time to find the best time to visit, and get_service_efficiency to monitor food station throughput.

singaporehawkerqueue-theorywait-timefood

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

estimate_wait_time

Predicts the total wait time for food at a hawker stall

get_service_efficiency

Calculates the throughput or velocity of a food station

suggest_arrival_time

Suggests the best time to arrive to avoid peak crowds

See how to talk to your AI agent using Hawker Queue Time Calculator.

How long will I wait if there are 20 people in line, 2 stalls serving chicken rice, and it takes 5 minutes per order?

The estimated wait time is 50 minutes, which is not worth the chope.

When should I arrive if I want to eat at 6:00 PM?

You should arrive at 5:45 PM to avoid the peak crowd.

How fast is the service if 10 people are in queue, 2 stalls are working, and prep time is 3 minutes?

The queue velocity is 0.67 people per minute.

The wait time is calculated by dividing the queue length by the number of available stalls and multiplying by the average preparation time. Michelin-starred stalls include a 1.5x multiplier.

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