# Azure integration

An MCP server implementation based on Azure CLI that provides programmatic access to Azure cloud resources, supports various Azure service operations including computing, storage, networking, databases, etc., and includes identity authentication and security management functions.

The Azure AI Agent Service MCP Server integrates the functions of Azure AI Foundry, supports connecting to existing Azure AI agents, and provides capabilities such as security authentication, session memory, and multi-tool invocation.

This project showcases multiple Model Context Protocol (MCP) servers integrated with Microsoft Azure, which enable large language models (LLMs) to securely access Azure tools and data sources, including AI agent services and various database services.

The Azure Policy MCP Server project aims to help LLM generate, validate, and deploy custom Azure policies by providing a toolset, including policy discovery, structural validation, deployment management, and compliance query functions.

Azure MCP Server is a server that implements the Model Context Protocol for interacting with Azure services, supporting Blob Storage, Cosmos DB, and App Configuration operations.

An MCP server for integrating with Azure DevOps services, providing a standardized interface to query resources such as repositories and pull requests.

An MCP integration server for Azure OpenAI DALL-E 3, providing image generation and download functions