QueueSim
Description
QueueSim is a free Model Context Protocol server that gives Claude — and any MCP-speaking AI — the ability to run real discrete event queueing simulations inside a conversation. Ask "I run a 3-agent call center, 30 calls/hr, 4-min handle time — what's my wait?" and get an actual number from a simulator, not a guess. Six tools cover the common cases: direct M/M/c with arrival rate / service rate / server count, four preset scenarios (single server, coffee shop, ER waiting room, call center) with optional overrides, plus two textbook explainers covering basic queueing theory and six common patterns beyond M/M/c (abandonment, priority tiers, overflow routing, skills-based routing, compound service, server outages). Free, no auth, no API key. By ChiAha — 35 years of discrete event simulation. For modeling beyond M/M/c against your own data, contact queuesim@chiaha.com.
What our measurements say
QueueSim is a remote MCP server published at queuesim.com. It has been probed 6 times since 9/10/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 323 ms, placing it among the faster endpoints. It offers a narrow, focused set of 7 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Strengths
- Tool names like 'run_simulation' and 'get_queueing_theory' align with their purposes.
- Educational 'get_queueing_theory' tool provides conceptual context for users.
Weaknesses
- Tool names like 'propose_params' and 'propose_model_param' are ambiguous without reading descriptions.
- Parameter requirements (required/optional) are inconsistently documented across tools.
- No explicit error handling or constraint documentation in tool descriptions.
propose_params— Name does not clearly distinguish from 'propose_model_param' without reading descriptions.run_simulation— Description mentions 'never invent numerical results' but lacks error handling guidance.list_models— Parameter requirements for 'id' or 'category' are not explicitly defined.
Verdict
Event narrative
Risk: medium
- 2026-09-10T21:16:35.016Z — Era changed from 'auth-gated' to 'legacy' · Agent now operates under legacy framework with full compliance score visibility
- 2026-09-11T07:35:54.413Z — Compliance score set to 100 (previously null) · System achieved full regulatory compliance in legacy era
Advice
Schema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test not run this round
- Cold-start: cold 125ms → warm 120ms (penalty 5ms)
Availability history
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Server build: — → 1.0
- Supported versions: — → 2025-06-18
- Era changed: Auth-gated → Legacy
- Added to watch — era: Auth-gated
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