Cloud World Model
क्लाउड इंफ्रास्ट्रक्चर का अनुकरण करें और तैनाती या बदलाव से पहले लागत, विलंबता और लचीलापन का अनुमान लगाएं। AI एजेंट AWS, GCP, Azure, OCI और DigitalOcean पर वास्तविक संसाधनों को प्रावधान किए बिना आर्किटेक्चर की तुलना कर सकते हैं।
होस्ट किया गया MCP सर्वर
npx add-mcp 'https://www.cloudworldmodel.ai/mcp'Claude Code, Codex, Cursor और अन्य में इंस्टॉल होता है
दस्तावेज़
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.