mcpField
A
azure-networking

azure-networking

github.com/alphaonedevCloud & DevOps44 installs
Repository

About azure-networking

Architecture guidance for teams managing Azure with Microsoft Agent Framework, covering service selection, cost estimates, permission pre-flight checks, and IaC choices. The framework handles execution and includes multi-agent workflows and MCP client support.

Key features

  1. 01Azure service selection and trade-offs
  2. 02Cost estimates and optimization guidance
  3. 03Entra ID and RBAC permission checks
  4. 04Bicep, ARM, and Terraform AzureRM guidance
  5. 05Graph-based multi-agent workflow design

Use cases

  1. 01Plan Azure services and costs
  2. 02Check Entra ID and RBAC permissions before provisioning
  3. 03Design multi-agent workflows with checkpoints

MCP support

Microsoft Agent Framework provides a native MCP client for external service integration; 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-networking

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

Details

From the project README

azure-networking

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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