SkillAgentSearch skills...

azure-architecture-diagram-builder

AI-powered Azure Architecture Diagram Builder with interactive workflow explanations, ARM template import, and export capabilities

Install / Use

claude mcp add Arturo-Quiroga-MSFT -- npx -y github:Arturo-Quiroga-MSFT/azure-architecture-diagram-builder

If the server publishes to npm under a different name, use that package instead โ€” check the repo README.

About this skill
๐Ÿ”Œ

MCP Server

Model Context Protocol server

Quality Score

75/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop

Our assessment of azure-architecture-diagram-builder

azure-architecture-diagram-builder scores 75/100 on our quality scale, 2608th of 2,887 Automation skills we index.

Its MCP Server is 85 KB long, well organised into 164 sections with 15 code examples: long enough that it reads more like full documentation than a focused instruction file, which agents can find harder to follow.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
21/30
Structure
20/20
Description
15/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so azure-architecture-diagram-builder is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit โ€” read the skill file before letting an agent act on it.

azure-architecture-diagram-builder compared with similar skills

All 4 of these similar skills score higher than azure-architecture-diagram-builder; compare them before choosing.

SkillScoreStarsUpdatedFormat
azure-architecture-diagram-builder (this skill)by Arturo-Quiroga-MSFT7510todayMCP Server
Agent-Reachby Panniantong100100.2ktodayCLAUDE.md
headroomby headroomlabs-ai10076.7ktodayCLAUDE.md
CowAgentby zhayujie10047.5ktodayCLAUDE.md
Scraplingby D4Vinci10088.9k1d agoMCP Server

Frequently asked questions

How do I install azure-architecture-diagram-builder?
Run claude mcp add Arturo-Quiroga-MSFT -- npx -y github:Arturo-Quiroga-MSFT/azure-architecture-diagram-builder. The install tabs above show the steps for each supported agent.
Which AI agents does azure-architecture-diagram-builder work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is azure-architecture-diagram-builder safe to use?
It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is azure-architecture-diagram-builder still maintained?
The repository was last updated today, so azure-architecture-diagram-builder is actively maintained.

Azure Architecture Diagram Builder

<div align="center">

Azure React TypeScript GPT-5.x DeepSeek Grok Mistral Kimi Version

A professional AI-powered tool for designing, validating, and deploying Azure cloud architectures

Live Demo โ€ข Short Link โ€ข Documentation โ€ข Report Bug

</div>

๐Ÿ‘ค Author

Arturo Quiroga
Senior Partner Solutions Architect (PSA) - Microsoft


๐Ÿ“– Overview

Azure Architecture Diagram Builder is an enterprise-grade web application that empowers cloud architects to design, visualize, validate, and deploy Azure solutions. Leveraging 14 AI models across multiple providers โ€” GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna, GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, Claude Opus 5.5, Claude Sonnet 5.5, MAI-Thinking-1, DeepSeek V4 Pro, Grok 4.7, Mistral Large 3, and Kimi K2.6 (via Azure OpenAI, Anthropic, and Azure AI model deployments on Microsoft Foundry) โ€” it transforms natural language descriptions into professional architecture diagrams while providing real-time cost estimates, Well-Architected Framework validation, multi-model comparison, and Infrastructure as Code generation.

Beyond editable topology diagrams, the app can also produce polished, whiteboard-style Blueprint diagrams (BETA) as shareable PNGs โ€” ideal for presentations and design reviews.

Why This Tool?

  • Speed: Go from idea to deployable architecture in minutes, not hours
  • Accuracy: Official Azure icons, real-time pricing from Azure Retail Prices API
  • Best Practices: Built-in WAF validation ensures your architecture follows Microsoft recommendations
  • Actionable Output: Generate deployment guides with Bicep/ARM templates ready for production

๐ŸŽฏ Scope & Intended Use

This tool is designed for greenfield Azure architecture design โ€” sketching, validating, and costing new solutions, and as an accelerator in architecture-design sessions and technical workshops. It supports Azure services only.

The WAF validation produces a diagram-only, design-time signal intended to guide new designs. It is not an audit of a deployed environment, and it is not intended for direct deployment into existing, complex customer environments without further validation and review by a qualified architect.


โœจ Key Features

๐Ÿค– AI-Powered Architecture Generation

Describe your architecture in plain English and let any of 14 AI models (GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna, GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, Claude Opus 5.5, Claude Sonnet 5.5, MAI-Thinking-1, DeepSeek V4 Pro, Grok 4.7, Mistral Large 3, or Kimi K2.6) automatically create a complete, professionally organized diagram with logical service groupings.

22 curated example prompts across 7 categories โ€” each shown as a card with a short outcome summary, the app capabilities it demonstrates, and a size hint (Compact / Standard / Large) so you can pick by effort. Use View full prompt to read the brief before loading it:

  • Start here โ€” three-tier web app, serverless event processing
  • Private connectivity & security โ€” private endpoints, Front Door with a WAF policy, Zero Trust segmentation
  • AI & agents โ€” enterprise RAG, private Foundry assistant, document processing
  • Apps & scale โ€” microservices on AKS, multi-region active-active
  • Data & analytics โ€” lakehouse, streaming, and warehouse patterns
  • Microsoft Fabric โ€” Eventstream, Eventhouse, Lakehouse, and Real-Time Intelligence
  • Industry scenarios โ€” HIPAA healthcare, e-commerce, industrial IoT

๐Ÿ–ผ๏ธ Architecture Image Import

Upload an existing architecture diagram image (screenshot, whiteboard photo, or exported PNG) and let AI analyze it to recreate the architecture as an editable, interactive diagram with proper Azure service mapping.

๐Ÿ’ฌ Architecture Chat (Conversational Refinement)

Refine your diagram through a natural back-and-forth conversation instead of one-shot prompts. Click the Chat button in the toolbar to open a docked side panel where you can iterate in plain English:

  • Type changes like "add Azure Front Door with WAF" โ†’ "now make it zone-redundant" โ†’ "add a Redis cache between the API and the database"
  • Each turn reads the live canvas as the source of truth, so follow-up requests naturally build on previous ones
  • The assistant replies with a concise summary of what changed (services added/removed)
  • Every change is auto-saved to version history, so you can step back at any time
  • Suggestion chips help you get started, and the panel shows which model is active

โœ๏ธ Blueprint Diagrams (BETA)

Generate a hand-drawn, whiteboard-style blueprint of your architecture โ€” nested zones (Azure / VNet / On-prem) with numbered, labeled arrows that trace the end-to-end flow, just like an architect explaining a system at a whiteboard. Three generation modes are available in the AI Generator modal:

  • Topology โ€” the classic deployable, editable diagram on the canvas
  • Blueprint (BETA) โ€” a polished whiteboard-style PNG (the PNG is the deliverable; re-download any time via Export > Export Blueprint PNG)
  • Both (BETA) โ€” a deployable topology and a Blueprint PNG from the same prompt, optionally generated in parallel

Blueprint and Both modes require a general-purpose OpenAI model (GPT-5.x). The app auto-switches if a third-party model is selected. A configurable legend position keeps the output presentation-ready.

๐Ÿ“‹ ARM Template Import

Import existing ARM templates and automatically visualize your current infrastructure. The AI parses resource dependencies and creates meaningful diagrams. A glowing purple banner provides visual feedback during parsing.

๐ŸŽฏ Well-Architected Framework Validation

Validate your architecture against all five WAF pillars:

  • Security โ€” Identity, encryption, network isolation
  • Reliability โ€” High availability, disaster recovery
  • Performance โ€” Scaling, caching, optimization
  • Cost Optimization โ€” Right-sizing, reserved instances
  • Operational Excellence โ€” Monitoring, automation

Select specific recommendations and automatically regenerate an improved architecture. During analysis, a dismiss hint lets you close the panel and return later via the Validation Score button in the toolbar.

๐Ÿ”€ Multi-Model Comparison

Compare AI output side-by-side across all 15 supported models when their deployments are configured:

  • Architecture Comparison โ€” Run the same prompt through multiple models and compare service counts, connection counts, groups, workflow steps, token usage, and latency
  • Validation Comparison โ€” Run WAF validation across models and compare overall scores, pillar-level scores, severity breakdowns, finding counts, and quick wins. An inline WAF info box explains the five pillars being assessed
  • Save All Diagrams โ€” Download each model's architecture as a separate JSON file
  • Save Comparison Report โ€” Download a combined JSON report for offline analysis
  • Present Critique โ€” Click "Present" to have a talking avatar narrate the AI ranking with live word-by-word closed captions (requires VITE_SPEECH_REGION)
  • Apply Winner โ€” Pick the best result and apply it to the canvas with one click

๐ŸŽ™๏ธ Avatar Presenter

After completing a model comparison, use Present Critique to have a photorealistic talking avatar narrate the AI ranking results aloud โ€” or click Narrate in the Workflow Panel to have the avatar walk through every architecture step:

  • A 3D avatar appears in a draggable, resizable floating panel โ€” grab the header to reposition anywhere on screen, drag the bottom-right corner to resize
  • Choose your narrator in Settings โ†’ Narrator: 13 full-body avatars (Lisa, Harry, Lori, Max, Meg in several styles), 15 photo avatars (including the preview Marcel, George and Leonie in supported Speech regions) and 12 neural voices, with a live Preview. Deployments can add their own custom avatar via VITE_AVATAR_CUSTOM_* (see .env.example)

๐Ÿ–ผ๏ธ Draggable Reference Image Viewer

When a sketch or image is uploaded for AI generation, the reference image stays visible as a floating panel:

  • Drag by the header bar to reposition anywhere on the canvas
  • Resize by dragging the purple corner handle โ€” scales from 160 ร— 110 px up to 700 ร— 700 px
  • Expand to full-screen overlay for detail
  • Collapse to a small pill to stay out of the way
  • Live word-by-word closed captions highlight each spoken word in real time, synchronized via the Speech SDK wordBoundary event
  • Keyless authentication โ€” no API keys stored; a lightweight Express.js token server runs co-located with nginx inside the container, acquiring an AAD token via DefaultAzureCredential (Azure Managed Identity) and returning it as aad#{resourceId}#{aadToken} on each request
  • The "Present" / "Narrate" buttons are only visible when VITE_SPEECH_REGION is configured at image build time; no UI impact when not set

๐Ÿ—‚๏ธ Collapse All Groups

Toggle button to collapse or expand all groups at once for a bird's-eye view of the architecture. Restores original group sizes on expand.

๐Ÿ”„ Workflow Animation & Data Flow

Visualize how data flows through your architecture step-by-step:

  • Interactive step-by-step walkthrough of the architecture
  • Service highlighting โ€” each step highlights the involved services on the canvas
  • Animated connections showing data flow direction
  • AI-generated descriptions for each workflow step
  • Narrate button (when Speech is configured) โ€” avatar speaks all steps aloud with live closed captions in a draggable, resizable panel

๐Ÿ“„ Deployment Guide Generation with Bicep

Generate comprehensive deployment documentation including:

  • Prerequisites and Azure resource requirements
  • Step-by-step deployment instructions
  • Bicep templates for each service (Infrastructure as Code)
  • Post-deployment verification steps
  • Security configuration recommendations
  • Grounded in Microsoft Learn โ€” before generating, the app searches official Microsoft Learn documentation for your services (via a server-side proxy to the Microsoft Learn MCP endpoint) and feeds the results into the model so commands, API versions, and Bicep schemas reflect current docs. A โ€œGrounded with Microsoft Learnโ€ references section lists the cited pages, which are also included in the exported Markdown. Grounding is best-effort: if docs are unavailable the guide still generates.

๐Ÿ’ฐ Real-Time Multi-Region Cost Estimation

Get instant cost estimates across 14 bundled Azure regions:

  • ๐Ÿ‡บ๐Ÿ‡ธ East US 2 ยท ๐Ÿ‡บ๐Ÿ‡ธ Central US ยท ๐Ÿ‡บ๐Ÿ‡ธ West US 2
  • ๐Ÿ‡จ๐Ÿ‡ฆ Canada Central ยท ๐Ÿ‡ง๐Ÿ‡ท Brazil South ยท ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico Central
  • ๐Ÿ‡ณ๐Ÿ‡ฑ West Europe ยท ๐Ÿ‡ฎ๐Ÿ‡ช North Europe ยท ๐Ÿ‡ฌ๐Ÿ‡ง UK South ยท ๐Ÿ‡ธ๐Ÿ‡ช Sweden Central
  • ๐Ÿ‡ธ๐Ÿ‡ฌ Southeast Asia ยท ๐Ÿ‡ฏ๐Ÿ‡ต Japan East ยท ๐Ÿ‡ฎ๐Ÿ‡ณ Central India ยท ๐Ÿ‡ฆ๏ฟฝ

Truncated for display โ€” read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars10
CategoryAutomation
Updated4h ago
Forks6

Languages

TypeScript

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit โ€” see the Safety scan above for what the skill file itself contains.

1 info
azure-architecture-diagram-builder โ€” MCP Server: Install & Safety Check | SkillAgent