Cloud World Model
ai.cloudworldmodel/cloud-world-model · v1.1.1
Simulate cloud infrastructure and estimate cost before deploying or changing infrastructure.
MCPremoteAPI keyAnalytics & marketingTransport
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 9 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 9 tools · 3 read, 6 write (incl. delete/pay) · Analytics & marketing, Databases
Test call scenario.list: worked (1,110 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://www.cloudworldmodel.ai/mcpTools
9 tools listed at last check
simulation.inject_failureFail one compute/Kubernetes node, database, or cache in a temporary anonymous demo simulation (marked critical, not removed). Targeted database quick failures are bounded and reversible; with no serving database at positive load, simulation.step reports 100% errors, zero goodput and errorBreakdown.dsimulation.recover_resourceRecover one reversible failed resource in a temporary anonymous demo simulation. No API key required for this temporary anonymous demo operation. Lower traffic to a serviceable level first, then provide resourceId or resourceName from simulation.create, simulation.step, or simulation.metrics. This dsimulation.deletePermanently delete an owned temporary anonymous demo simulation and its metrics, events, failures, and capability. This is the explicit way to free a simulation slot; deletion is irreversible, while the existing demo TTL remains the safety net for abandoned simulations. Prerequisite: a simulationIdscenario.listList the built-in demo scenarios as compact catalog cards — stable IDs, title/name, description, difficulty, tags, category, duration, provider summary, resource/connection counts, named active/optional traffic phases, and retry-workload disclosure. Use it as the first call when you want a ready-madscenario.getHydrate one built-in scenario from the live Cloud World Model scenario library. Prerequisite: a scenario id returned by scenario.list. Returns the complete selected scenario graph, including resources and connections plus optional seed, resilienceConfig, protectedResilienceConfig, traffic/failure prsimulation.createCreate a temporary anonymous demo cloud simulation from a list of resources and connections (max 2 active simulations per client, up to 10 resources; the returned simulationId is a short-lived unguessable capability that survives MCP transport teardown, but it is cleaned up when the demo lifetime exsimulation.stepAdvance a temporary anonymous demo simulation by one time step and return updated metrics — CPU, latency, throughput, error rate, cost (max 20 persisted steps per demo). Concurrent simulation.step calls on one simulation either serialize as distinct consecutive steps (in the browser Workspace queue)simulation.metricsRead the latest metrics and resource states for a temporary anonymous demo simulation: latency, CPU, throughput, error rate, cost per hour, and per-resource health. Use it to inspect current state and metrics history without advancing time; do not use it to move the simulation forward — that is simusimulation.inject_trafficChange traffic on a demo simulation using targetRps, deltaPercent, or explicit random: true. targetRps takes precedence over deltaPercent; random cannot be combined with either. Missing or unknown selectors are rejected, and no random spike is selected implicitly. Absolute targets are capped at 1000
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