mcpField
A
azure-storage

azure-storage

github.com/alphaonedevCloud & DevOps41 installs
Repository

About azure-storage

azure-storage provides architecture guidance for teams planning Azure deployments and operations. It covers service selection, cost planning, and permission prerequisites, while Microsoft Agent Framework handles execution.

Key features

  1. 01Azure service selection and trade-offs
  2. 02Cost estimation and optimization
  3. 03Entra ID and RBAC permission checks
  4. 04IaC approach selection
  5. 05Microsoft 365 integration patterns
  6. 06Multi-agent workflow design

Use cases

  1. 01Compare Azure service options
  2. 02Estimate and optimize cloud costs
  3. 03Check identity and permissions before deployment
  4. 04Plan Azure infrastructure as code

MCP support

Microsoft Agent Framework includes a native MCP client for external services; the skill also notes that agents can use 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-storage

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

Details

From the project README

azure-storage

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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