mcpField
A
azure-root

azure-root

github.com/alphaonedevCloud & DevOps42 installs
Repository

About azure-root

azure-root provides architecture guidance for Azure operations and provisioning, while delegating execution to the Microsoft Agent Framework. It is intended for teams planning Azure solutions, covering service selection, cost estimates, permissions, IaC choices, and multi-agent workflows.

Key features

  1. 01Azure service selection and trade-off analysis
  2. 02Cost estimation and optimization strategy
  3. 03Entra ID and RBAC permission preparation
  4. 04Choose Bicep, ARM, or Terraform AzureRM
  5. 05Design graph-based multi-agent workflows

Use cases

  1. 01Plan Azure services and architecture
  2. 02Estimate and optimize cloud costs
  3. 03Check identity and permissions before deployment
  4. 04Design multi-agent flows with checkpoints

MCP support

The skill directs execution to the Microsoft Agent Framework, which includes a native MCP client for external services; its agents also support tools and MCP servers.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alphaonedev/openclaw-graph --skill azure-root

After installing, type/azure-rootin Claude Code to confirm it loaded.

Details

From the project README

azure-root

Microsoft Azure Agent Framework Integration

This skill delegates all Azure provisioning and operations to the official Microsoft Agent Framework.

# Python
pip install semantic-kernel

# .NET / C#
dotnet add package Microsoft.SemanticKernel.Agents

Docs: https://learn.microsoft.com/en-us/agent-framework/overview/

Use the Microsoft Agent Framework for all Azure provisioning and operational actions. This skill provides architecture guidance, cost modeling, and pre-flight requirements — the framework handles execution.

Architecture Guidance

Consult this skill for:

  • Azure service selection and trade-off analysis
  • Cost estimation and optimization strategy
  • Pre-flight Entra ID / RBAC permission requirements
  • IaC approach (Bicep vs ARM vs Terraform AzureRM)
  • Integration patterns with Microsoft 365 and other Azure services
  • Multi-agent workflow design using Agent Framework graph-based runtime

Agent Framework Capabilities

CapabilityDescription
AgentsIndividual LLM agents with tool + MCP server support
WorkflowsGraph-based multi-agent pipelines with checkpointing
ProvidersAzure OpenAI, OpenAI, Anthropic, Ollama, and more
MCPNative MCP client for external service integration
Human-in-the-loopBuilt-in approval and intervention checkpoints

Reference

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