1. Conduid
  2. Agents
  3. Azure Agentic Infraops Accelerator
MCP server · Agents

Azure Agentic Infraops Accelerator

Starter template for APEX. Contains custom Copilot agents, Azure Pricing MCP server, and an orchestrated multi-step workflow. Auto-syncs from the main repository.

Unclaimed agents
39Low

Scored 5 months ago · breakdown

About Azure Agentic Infraops Accelerator

Azure Agentic Infraops Accelerator is an MCP server in the Agents category: starter template for APEX. Contains custom Copilot agents, Azure Pricing MCP server, and an orchestrated multi-step workflow. Auto-syncs from the main repository.

Install

From source
git clone https://github.com/jonathan-vella/azure-agentic-infraops-accelerator

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Azure Agentic Infraops Accelerator

Powered by Claude · Grounded in docs

I know everything about Azure Agentic Infraops Accelerator. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

APEX Accelerator

Modernize your Azure Infrastructure with AI. A production-ready template for building Well-Architected environments using custom Copilot agents, Dev Containers, and the Model Context Protocol (MCP).

Azure Bicep Terraform Copilot

Overview

This accelerator provides the scaffolding and governance to move from requirements to deployed infrastructure using an orchestrated multi-agent workflow. It leverages domain-specific AI agents to ensure every deployment is Well-Architected, governed, and documented.

What you get: Specialized agents, skills, validation scripts, a full dev container with all tools pre-installed, and an optional weekly sync workflow that keeps your agents and skills up to date with the upstream APEX project.


Prerequisites

Requirement Details
VS Code Latest stable release
GitHub Copilot Active license (Individual, Business, or Enterprise)
Docker Desktop For the dev container (or GitHub Codespaces)
Azure subscription Optional for Steps 1-5; required for Step 6 (Deploy)

Quick Start

1. Create Your Repository

This repository is a GitHub Template — not a fork.

  1. Click "Use this template" → "Create a new repository" at the top of this page
  2. Choose an owner and name (e.g., my-infraops-project)
  3. Select Private (do not use Public)
  4. Click Create repository

Your new repo has the same directory structure and files but a clean commit history and no fork relationship. It is entirely yours.

2. Clone and Open in Dev Container

git clone https://github.com/YOUR-USERNAME/my-infraops-project.git
cd my-infraops-project
code .

When prompted by VS Code, click "Reopen in Container" (or run Dev Containers: Reopen in Container from the Command Palette). The container build takes 3-5 minutes and pre-installs:

  • Azure CLI with Bicep extension
  • Terraform CLI with TFLint
  • GitHub CLI (gh)
  • Node.js + npm (validation scripts)
  • Python 3 + pip (MCP server, diagram generation)
  • Go (Terraform MCP server)

3. Initialize Your Repository

After the dev container starts, run the initialization commands:

npm install
npm run init
npm run sync:workflows

What these do:

Command Purpose
npm install Install Node.js dependencies (validation scripts, linting)
npm run init One-time setup — replaces all references to the accelerator template repo with your repo's URL (auto-detected from git remote). Run npm run init -- --dry-run first to preview changes.
npm run sync:workflows Fetches the latest GitHub Actions workflows from the upstream APEX project into your .github/workflows/ directory

Note: Python dependencies (diagrams, Azure Pricing MCP server, apex-recall) are installed automatically by the dev container's post-create.sh script. No manual pip install is needed.

After running, review and commit:

git diff
git add -A && git commit -m "chore: initialize from template"

4. Set Up Azure (Optional)

Run the setup wizard to configure Azure OIDC authentication, RBAC roles, and GitHub secrets/variables — all in one command:

az login
npm run setup

The wizard creates an Entra ID app registration, OIDC federated credentials (for main branch + dev/staging/prod environments), assigns Reader at your Management Group and Contributor at your subscription, and configures all GitHub secrets and variables. It is idempotent — safe to re-run.

See the Azure Setup documentation for headless mode, manual setup steps, and troubleshooting.

Skip this if you are just exploring the agent workflow without deploying to Azure.


Project Structure

Once you are working in your repo, here is what lives where:

.github/
  agents/              # Agent definitions (*.agent.md)
    _subagents/        # Subagent definitions (non-user-invocable)
  skills/              # Reusable domain knowledge (SKILL.md per skill)
  instructions/        # File-type rules with glob-based auto-application
  copilot-instructions.md  # VS Code Copilot-specific orchestration instructions
  workflows/           # GitHub Actions (sync, CI, validation)
agent-output/          # Generated artifacts organized by project
  {project}/           # 01-requirements.md through 07-*.md
infra/
  bicep/{project}/     # Bicep templates (main.bicep + modules/)
  terraform/{project}/ # Terraform configurations (main.tf + modules/)
tools/
  mcp-servers/         # MCP servers (azure-pricing, drawio)
  scripts/             # Validation and maintenance scripts
site/                  # Documentation site source (Astro Starlight)

What's Yours vs. What's Upstream

Your files (safe to edit, never overwritten by sync) Upstream-managed files (overwritten by sync)
agent-output/ — generated project artifacts .github/agents/ — agent definitions
infra/bicep/ — your Bicep templates .github/skills/ — agent skills
.github/workflows/ — your CI/CD workflows .github/instructions/ — coding rules
README.md — your documentation .github/copilot-instructions.md
tools/, site/, package.json
AGENTS.md, .devcontainer/, .vscode/

Note: If you disable the sync workflow, everything becomes yours to edit freely. See Customization below.


Customization

Changing defaults (regions, tags, naming)

When you create from this template, every file is yours. The question is which approach gives you the best experience over time.

Strategy A: Edit directly (simplest)

Edit the file you need — for example, change swedencentral to westeurope in .github/skills/azure-defaults/SKILL.md. If you don't plan to pull upstream improvements, disable the sync workflow entirely (repo Settings → Actions → disable Upstream Sync) and manage the repo as your own.

If you want upstream updates later, re-enable the workflow. The sync PR will overwrite your edited files with the upstream version (it is not a merge), so you'll need to re-apply your changes after merging. Keep a record of what you changed.

Strategy B: Keep sync enabled, layer your overrides (recommended for teams that want continuous upstream improvements)

The sync workflow overwrites all upstream-managed files but never touches the four excluded paths. To safely store overrides that survive sync:

  1. Edit the sync exclusion list — the sync workflow file itself is user-owned (.github/workflows/ is excluded from sync). Open .github/workflows/weekly-upstream-sync.yml and add paths to EXCLUDE_PATHS and the matching for path in ... loop:

    EXCLUDE_PATHS: |
      .github/workflows/
      agent-output/
      infra/bicep/
      infra/terraform/
      README.md
      AGENTS.md
    

    Then add your overrides to root AGENTS.md — it will survive all future syncs.

  2. Use infra/bicep/AGENTS.md — since infra/bicep/ is already excluded from sync, you can place an AGENTS.md there with your organization defaults. VS Code loads subfolder AGENTS.md files when working with files in that directory.

  3. VS Code user-profile instructions — place a .instructions.md file in your VS Code profile's prompts/ folder. This lives outside the repo entirely and applies to all your workspaces.

Which strategy to pick?

Approach Best for
A: Edit directly, skip sync Solo users, teams that self-manage updates
B: Layer overrides, keep sync Teams that want automatic upstream improvements

Adding new agents or skills

Agents are defined in .github/agents/*.agent.md and skills in .github/skills/*/SKILL.md. You can add new ones alongside the existing set. If you keep sync enabled, use distinctive names that won't collide with upstream filenames, or add your custom paths to the sync exclusion list.


IaC Tracks: Bicep and Terraform

Both IaC tracks are fully supported. The Requirements agent (Step 1) captures your iac_tool preference, and the Orchestrator routes Steps 4-6 to the correct track.

Factor Bicep Terraform
Azure-only Native DSL, first-class support Multi-cloud via AzureRM provider
State No state file (ARM-managed) State file (Azure Storage backend)
AVM modules br/public:avm/res/ registry.terraform.io/Azure/avm-res-*/
CI/CD az deployment group create terraform plan + terraform apply

Multi-Project Support

The accelerator is designed for one repo containing multiple projects. Each project gets its own folders:

  • agent-output/{project}/ — artifacts (requirements, architecture, plans, docs)
  • infra/bicep/{project}/ or infra/terraform/{project}/ — IaC templates

Agents, skills, instructions, and the dev container are shared across all projects.

One repo per project is also valid when teams need separate governance or isolation. Each repo is created independently from the template.

Sharing customizations across repos or teams

  • Edit the sync exclusion list in each repo to protect AGENTS.md, then maintain a standard overrides section that you copy into each repo
  • VS Code user-profile instructions — personal preferences that follow you across repos without any per-repo setup
  • Canonical overrides in a shared location — maintain a standard overrides snippet in a team wiki or internal repo and copy it when creating new instances

Keeping Up to Date

What How Frequency
Agents, skills, instructions, docs, scripts Automated weekly PR (upstream sync workflow) Weekly
GitHub Actions workflows npm run sync:workflows (manual) As needed
All validations npm run validate:all Before each PR

The sync workflow opens a PR for human review — it never auto-merges. You can disable it entirely if you prefer to manage updates manually.


Validation & Quality

# Run all code and documentation validations
npm run validate:all

# Fix markdown formatting
npm run lint:md:fix

# Bicep validation (replace {project})
bicep build infra/bicep/{project}/main.bicep
bicep lint infra/bicep/{project}/main.bicep

# Terraform validation
terraform fmt -check -recursive infra/terraform/
cd infra/terraform/{project} && terraform init -backend=false && terraform validate

Resources

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Azure Agentic Infraops Accelerator

How do I install Azure Agentic Infraops Accelerator?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Azure Agentic Infraops Accelerator safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Azure Agentic Infraops Accelerator still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.