mcpField
A
azure-functions

azure-functions

github.com/alphaonedevCloud & DevOps41 installs
Repository

About azure-functions

azure-functions is a skill for Azure architecture guidance, cost planning, and operational pre-flight checks. It delegates provisioning and execution to Microsoft Agent Framework, which also supports agents, workflows, and external integrations.

Key features

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

Use cases

  1. 01Comparing Azure service options
  2. 02Estimating and optimizing Azure costs
  3. 03Checking permissions before provisioning
  4. 04Planning Microsoft 365 integrations

MCP support

Microsoft Agent Framework provides the execution layer and a native MCP client for external service integration. Its agents can also 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-functions

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

Details

From the project README

azure-functions

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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