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Explorer/MCP/canvascloudai/cloud-world-model
REMOTE

Cloud World Model

canvascloudai/cloud-world-model

Simulate the cloud without the cloud. Try 6 cloud simulation and chaos-engineering tools instantly. Authenticate with an API key to unlock all 53 tools. Simulate AWS, Azure, GCP, and OCI infrastructure without provisioning real cloud resources. Create cloud simulations, inject traffic and failures, step through infrastructure behavior, and inspect performance, health, cost, and system metrics before deploying anything to a real cloud. The full authenticated tool set includes architecture analysis, optimization, prediction, reinforcement learning, chaos engineering, and multi-cloud capabilities. Features * Simulate AWS, Azure, GCP, and OCI infrastructure * Start with built-in cloud architecture scenarios * Inject traffic and simulate workload spikes * Inject infrastructure failures and observe their impact * Step simulations and inspect changing system behavior * Analyze latency, CPU, throughput, error rate, cost, and resource health * Unlock all 51 tools with a Cloud World Model API key No cloud account required. No real infrastructure provisioned.

6 tools available ↓
The Newcomer
Hasn't been around long. Nothing caught our attention, but there isn't much history to go on yet.
Time indexed (2mo)
6toolsRemote/ HTTP2moindexed
100% uptime · 303ms avgChecked Sep 17, 2026
Quality Score
42/95
Established
Risk Score
0/100
Clean
▸How is this calculated?
Quality Breakdown
Tenure10.8/20
51 days indexed
Capability16.3/25
Tools: 4.3/13 (6 tools)
Description: 5/5 ✓
Endpoint: 7/7 ✓
Adoption4.5/25
Use count: 4.5/20 (12 uses)
Multi-registry: 0/5 (1 registry)
Reliability10/25
Currently live: 10/10 ✓
Uptime history: 0/15 No checks yet
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0— Clean
No signals detected.
The scanner shows
6 tools. Nothing caught our attention.
First indexed Jul 27, 2026
Server Profile
⚙
Tools catalogued
6
6 tools available. Full list below.
☁
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
○
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
●
Liveness
100%
Based on 13 checks. Average response: 303ms.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://cloud-world-model--canvascloudai.run.tools
Tools (6)
simulation.inject_failure
Randomly fail one healthy compute node in a demo simulation owned by this session. Returns the updated resource list and the failure event that was logged. Use simulation.step after injecting to observe how the architecture degrades under failure, then simulation.metrics to review the health impact. Do not use it to advance simulation time — that is simulation.step. Requires a simulationId from simulation.create (this session). Authenticate with an API key to unlock all 53 tools including multi-resource failure targeting and chaos engineering.
scenario.list
List the built-in demo scenarios — pre-built cloud architectures (resources + connections) with realistic traffic patterns. Use it as the first call of a session when you want a ready-made architecture instead of designing one; skip it if you already know the resources you want to create. No prerequisites, no API key required. Each scenario's resources and connections arrays can be passed directly to simulation.create, which is the likely next tool.
simulation.create
Create a demo cloud simulation from a list of resources and connections (max 2 per session, up to 10 resources; demo simulations are temporary and are cleaned up after roughly 30 minutes or when the session ends). If you don't have an architecture in mind, call `scenario.list` first — its `resources` and `connections` arrays can be passed directly here. Use it to start any simulation workflow — either with resources from scenario.list or your own architecture. Do not use it to modify an existing simulation (use simulation.inject_traffic to change load). No prerequisites. Returns the simulation object including its id, which every other simulation.* tool consumes. The likely next tool is simulation.step to advance time. Do not call api.spec to learn the simulation workflow — the tool descriptions in this session contain everything needed. Authenticate with an API key for unlimited persistent simulations.
simulation.step
Advance a demo simulation by one time step and return updated metrics — CPU, latency, throughput, error rate, cost (max 20 steps per session). Use it to observe how the architecture behaves over time, typically right after simulation.create or simulation.inject_traffic. Do not use it to read current state without advancing time — that is simulation.metrics. Requires a simulationId from simulation.create (this session). The likely next tool is simulation.step again (to keep observing) or simulation.inject_traffic (to change load first). Authenticate with an API key for unlimited steps.
simulation.metrics
Read the latest metrics and resource states for a demo simulation created in this session: 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 simulation.step. Requires a simulationId from simulation.create (this session) and at least one simulation.step for meaningful metrics. Read-only and free to repeat. The likely next tool is simulation.step or simulation.inject_traffic.
simulation.inject_traffic
Change the traffic load on a demo simulation. Omit traffic to trigger a random 2×–5× spike; provide traffic to set an absolute RPS level (capped at 10000 RPS in demo mode). Use it to stress-test the architecture before stepping; the change only affects metrics after the next simulation.step. Do not use it to read metrics (simulation.metrics) or advance time (simulation.step). Requires a simulationId from simulation.create (this session). Returns the updated simulation with its new traffic level; the likely next tool is simulation.step.

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