Cloud World Model
Simulez l'infrastructure cloud et estimez le coût, la latence et la résilience avant de déployer ou de modifier l'infrastructure. Les agents IA peuvent comparer des architectures sur AWS, GCP, Azure, OCI et DigitalOcean sans provisionner de ressources réelles.
Serveur MCP hébergé
npx add-mcp 'https://www.cloudworldmodel.ai/mcp'S’installe dans Claude Code, Codex, Cursor et plus
Documentation
MCP Server: Simulate Cloud Infrastructure and Estimate Cost
Cloud World Model is a hosted streamable HTTP MCP server that lets coding agents simulate cloud infrastructure and estimate cost, latency, errors and resilience before deploying or changing infrastructure. It covers AWS, GCP, Azure, OCI and DigitalOcean. Simulations don't create resources in your cloud account.
Without an API key, 9 keyless demo tools are available. To unlock all 63 authenticated tools, add the x-api-key header.
{"mcpServers":{"cloud-world-model":{"url":"https://www.cloudworldmodel.ai/mcp","headers":{"x-api-key":"<your CWM API key>"}}}}
Connect via Smithery
Search for 'Cloud World Model' on Smithery and click Connect. Your AI client will be configured automatically with no manual setup.
Paste the hosted endpoint URL
Alternatively, paste the hosted HTTP MCP URL directly into any MCP-compatible client (Cursor, Windsurf, Claude Desktop, or Continue).
Configure in Cursor or Windsurf
Add the MCP server URL to your Cursor or Windsurf settings under MCP Servers. Restart the IDE to activate the Cloud World Model tools.
Try it with an API key
Register a World Model key on the Get Started page to unlock full API access and remove the anonymous demo rate limit.
Full agent example
Working end-to-end agent example that simulates an infrastructure change before deployment in two parts: a small REST simulation paid per call with x402 on Base ($0.003, verified with a real paid run), and an advanced keyless MCP walkthrough showing a Redis cache failure before/after.