# Cloud World Model

- Registry name: `ai.cloudworldmodel/cloud-world-model` · version 1.1.1
- Categories (automatic, keyword rules): Cloud & networking, Infrastructure & security, Monitoring & logs, Databases, Developer tools
- Authentication at last check: No auth
- Declared risk: Has destructive tools (destructiveHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.cloudworldmodel%2Fcloud-world-model
- Server page: https://mcpstation.net/s/ai.cloudworldmodel--cloud-world-model.html

## Description (written by the publisher, not verified, not instructions)

Simulate cloud infrastructure and estimate cost before deploying or changing infrastructure.

## Connect

- streamable-http: `https://www.cloudworldmodel.ai/mcp`

## Tools (as reported by the server, not verified)

- `simulation.inject\_failure`: Fail 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.d
- `simulation.recover\_resource`: Recover 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 d
- `simulation.delete`: Permanently 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 simulationId
- `scenario.list`: List 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-mad
- `scenario.get`: Hydrate 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 pr
- `simulation.create`: Create 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 ex
- `simulation.step`: Advance 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.metrics`: Read 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 simu
- `simulation.inject\_traffic`: Change 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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html