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QueueSim

MCP serverVerified domain · queuesim.comRemote● LiveFree to try

Queueing simulation: M/M/c, staffing, Erlang C checks, and multi-step models built from nodes.

Install

Remote server: your requests and data go to queuesim.com. Claude Code: claude mcp add --transport http queuesim https://queuesim.com/mcp/v1 · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • simulate_mmc — Run a generic M/M/c queue simulation. Provide an arrival rate (λ, arrivals/hour), a service rate per server (μ, customers/hour each server c
  • list_scenarios — List the four pre-built QueueSim scenarios. Returns key, title, and one-line description for each (Single Server, Coffee Shop, Grocery Check
  • describe_scenario — Return full details for one preset scenario: title, description, teaching note, peak parameters, and per-hour arrival + staffing arrays. Use
  • simulate_scenario — Run one of the four preset scenarios (single, coffee, grocery, callcenter) with optional overrides. Overrides apply UNIFORMLY across open ho
  • simulate_schedule — Run a queueing simulation against an arbitrary 24-hour staffing schedule. Take this when the user describes a custom day shape that doesn't
  • compare_separate_vs_pooled — Run the classic operations-research teaching demo: pooled queueing (one shared queue, c servers) vs separate queues (c independent queues, o
  • explain_queueing_theory — Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates t
  • explain_advanced_patterns — Return a textbook-level description of six queueing complexity patterns beyond basic M/M/c: abandonment/reneging, priority tiers, overflow r
  • recommend_staffing — INVERSE of simulate_mmc — given an arrival rate, service rate, and a target average wait time, returns the SMALLEST number of servers needed
  • interpret_result — Given an M/M/c configuration (arrivalRate, serviceRate, servers) and optionally an observed average wait, returns a queueing-theory framed i
  • compare_analytical_vs_simulated — Run the same M/M/c configuration through BOTH the closed-form Erlang-C formula AND the discrete-event simulator, returning a side-by-side co
  • queue_model_guide — How to build a QueueSim Cloud model: the node types (arrivals, service, delay, split, settype, bytype, exit), staff groups, distributions, p
  • check_queue_model — Check a QueueSim Cloud model (a multi-step queueing system built from nodes and staff groups) without running it. Returns every problem foun
  • run_queue_model — Run a QueueSim Cloud model (a multi-step queueing system built from nodes and staff groups) on the QueueSim Cloud discrete event engine. Ret

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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