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Short, practical answers for Azure diagrams, project-aware cloud Q&A, CLI workflows, and MCP-compatible AI agents.

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The workflow closest to what you need: create a diagram, review an Azure template, compare tools, export from CLI, or connect MCP.

Guide

How do I generate an Azure architecture diagram automatically?

Create a Cloudeval project from an ARM template, compiled Bicep JSON, GitHub template URL, or live Azure sync. Cloudeval builds architecture and dependency diagrams, then connects them to reports, exports, CLI commands, and AI answers.

  • Architecture and dependency diagrams.
  • Report-backed findings for architecture, security, cost, or Well-Architected review.
Open guide
Cloudeval Azure architecture diagram showing connected cloud resources

Guide

How do I convert an ARM template to an architecture diagram?

Create a Cloudeval Azure project from an ARM JSON template. Cloudeval turns the resources into architecture and dependency diagrams, then lets you run reports or ask questions about risks, costs, and relationships.

  • A project diagram from ARM resources.
  • Architecture, security, cost, Well-Architected, or ARM/unit-test findings where available.
Open guide
Cloudeval infrastructure-as-code view for Azure resource templates

Guide

How do I convert Bicep to a cloud architecture diagram?

Compile Bicep to ARM JSON, then create a Cloudeval Azure project from that ARM output. Cloudeval can render diagrams, run reports, export images, and answer questions from the resulting project context.

  • A Cloudeval project based on compiled Bicep output.
  • Architecture and dependency diagrams.
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Cloudeval code editor view for cloud architecture source files

Guide

How can I chat with my Azure architecture?

Open a Cloudeval project and ask questions against its diagrams, resources, reports, and source details. The answer can use project context instead of giving generic cloud advice.

  • An answer tied to project context.
  • Evidence, citations, or report references where available.
Open guide
Cloudeval chat interface answering questions about cloud architecture

Guide

What is an AI cloud architecture assistant?

An AI cloud architecture assistant should answer from project context, not from a blank prompt. Cloudeval combines diagrams, files, live Azure sync, reports, CLI workflows, and MCP-compatible access so teams can ask better architecture questions.

  • Project-aware architecture answers.
  • Source-aware recommendations.
Open guide
Cloudeval desktop chat workflow for cloud architecture questions

Guide

How does an MCP server help with cloud architecture review?

Cloudeval MCP lets compatible agents use tools for Cloudeval docs, project, graph, report, pricing, and chat context. That gives agents a controlled way to review architecture without relying on pasted screenshots or stale notes.

  • Agent answers based on Cloudeval context.
  • Tool-backed references to docs, projects, reports, or graph data.
Open guide
Cloudeval code and AI workflow for agent-assisted cloud architecture review

Guide

What can I do with the Cloudeval CLI for cloud architecture?

Use the Cloudeval CLI to create projects, run diagnostics, open diagrams, run reports, ask project questions, and export diagrams from the terminal. It can also serve MCP workflows for compatible agent tools.

  • Project creation or inspection from the terminal.
  • Reports, questions, sessions, or exports from CLI commands.
Open guide
Cloudeval command-line and code workflow for cloud architecture automation

Guide

How do I export cloud diagrams from the CLI?

Use the Cloudeval CLI diagram export workflow with a project ID, layout, format, label option, and output path. This creates review-ready architecture or dependency diagram images from Cloudeval project context.

  • PNG or supported image output.
  • A diagram tied to the current project graph.
Open guide
Cloudeval diagram export workflow with resource details visible
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CloudevalCloudeval AI

AI Agents Engineered for Cloud. Visualize, understand, and optimize your cloud infrastructure with intelligent automation.

Made in India 🇮🇳 for the world! 🌍❤️

Follow Us

Get started

  • Features
  • Pricing
  • Changelog

Resources

  • Blog
  • Documentation
  • Support

Legal

  • Terms & Conditions
  • Privacy Policy
  • Refund Policy
  • Delivery Policy

Company

  • About Us
  • Contact Us
  • Careers
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