QueueSim
Run M/M/c queue simulations and four scenarios (call center, ER, coffee shop, single server).
Run M/M/c queue simulations and four scenarios (call center, ER, coffee shop, single server). Official MCP Registry: com.queuesim/[email protected]. Remote endpoint: https://queuesim.com/mcp/v1
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as com.queuesim/public and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 28 Jul 2026. Not supplied by the maker.
simulate_mmcRun a generic M/M/c queue simulation. Provide an arrival rate (λ, arrivals/hour), a service rate per server (μ, customers/hour each server can finish), and a server count (c). Optional: distribution s
list_scenariosList the four pre-built QueueSim scenarios. Returns key, title, and one-line description for each (Single Server, Coffee Shop, Grocery Checkout, Call Center). Call this when the user's problem matches
describe_scenarioReturn full details for one preset scenario: title, description, teaching note, peak parameters, and per-hour arrival + staffing arrays. Use this before simulate_scenario to understand the default sha
simulate_scenarioRun one of the four preset scenarios (single, coffee, grocery, callcenter) with optional overrides. Overrides apply UNIFORMLY across open hours — e.g. setting servers=5 on 'coffee' replaces the 4/6/4
simulate_scheduleRun a queueing simulation against an arbitrary 24-hour staffing schedule. Take this when the user describes a custom day shape that doesn't match a preset (e.g., 'my coffee shop is open 6am–10pm with
compare_separate_vs_pooledRun the classic operations-research teaching demo: pooled queueing (one shared queue, c servers) vs separate queues (c independent queues, one server each, λ/c traffic to each). Both runs have identic
explain_queueing_theoryReturn a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a concept
explain_advanced_patternsReturn a textbook-level description of six queueing complexity patterns beyond basic M/M/c: abandonment/reneging, priority tiers, overflow routing, skills-based routing, compound service, and server o
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