mcpField
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azure-sql

azure-sql

github.com/alphaonedevData & databases41 installs
Repository

About azure-sql

azure-sql provides architecture guidance for Azure provisioning and operations, while Microsoft Agent Framework handles execution. It is intended for planning service choices, costs, permissions, infrastructure as code, and multi-agent workflows.

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. 05Microsoft 365 and Azure integration patterns
  6. 06Multi-agent workflow design

Use cases

  1. 01Comparing Azure service options
  2. 02Estimating and optimizing Azure costs
  3. 03Checking Entra ID and RBAC requirements
  4. 04Planning Azure infrastructure as code

MCP support

Microsoft Agent Framework provides a native MCP client for integrating external services, and its agents can use tools and MCP servers. This skill delegates Azure provisioning and operations to that framework.

Install

Copy the command and run it in a terminal.

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

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

Details

From the project README

azure-sql

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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