General Tools

cloudworldmodel.ai

Provides general-purpose tools through the Model Context Protocol.

x402 supported1 endpoint9 known toolsFirst detected September 29, 2026Last detected October 9, 2026

ENDPOINT 1

https://www.cloudworldmodel.ai/mcp

No auth detected

MCP server metadata

Name: cloud-world-model
Version: 1.1.1

Capabilities

tools.listChanged

Server instructions

Cloud World Model Streamable HTTP MCP server. build_revision=975dce0cf351 build_timestamp=2026-10-09T17:48:01.387Z simulation_create_schema_fingerprint=sha256:6a57fdc7ca7fd73e563ee940ac5bc7689801ed4cbd62d398f2673f8fe0d0e42d anonymous_mcp_capability_version=proxy-safe-v1

Known tools 9

simulation.inject_failure

Fail one compute/Kubernetes node or database in a temporary anonymous demo simulation (marked critical, not removed).

Inferred read-only

simulation.recover_resource

Recover one reversible failed resource in a temporary anonymous demo simulation.

Inferred read-only

simulation.delete

Permanently delete an owned temporary anonymous demo simulation and its metrics, events, failures, and capability.

Potential side effects

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.

Inferred read-only

scenario.get

Hydrate one built-in scenario from the live Cloud World Model scenario library.

Inferred read-only

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 expires or the simulation is deleted).

Potential side effects

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).

Inferred read-only

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.

Inferred read-only

simulation.inject_traffic

Change the traffic load on a demo simulation.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.cloud-world-model]
url = "https://www.cloudworldmodel.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "cloud-world-model": {
      "type": "http",
      "url": "https://www.cloudworldmodel.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: cloud-world-model
Remote MCP URL: https://www.cloudworldmodel.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "cloud-world-model": {
      "url": "https://www.cloudworldmodel.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "cloud-world-model": {
      "type": "http",
      "url": "https://www.cloudworldmodel.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "cloud-world-model",
  "transport": "streamable-http",
  "url": "https://www.cloudworldmodel.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for cloudworldmodel.ai was fetched 2026-10-01T23:41:31.541Z.

Trust status Neutral

cloudworldmodel.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.