Overview
Azure MCP Server provides a unified Model Context Protocol (MCP) server that consolidates all Azure MCP tooling into a single, consistent entry point. It implements the MCP specification to create a seamless connection between AI agents and Azure services, enabling agents to request data, perform operations, and orchestrate tasks across services such as Azure Storage, Cosmos DB, and the Azure CLI. By centralizing the MCP surface, it reduces duplication and divergence in Azure automation and AI workflows. It can be used as a standalone server or in combination with the GitHub Copilot for Azure extension in Visual Studio Code, supporting AI-assisted development within familiar IDEs. Azure MCP Server offers install options across common development environments and is designed to integrate with Azure-native tooling, empowering developers to build intelligent, Azure-enabled agents and copilots without bespoke integrations.
Features
Unified Azure MCP tooling
Consolidates all Azure MCP capabilities into a single server for a consistent MCP surface.
MCP-compliant Azure integration
Implements the MCP specification to enable seamless connections between AI agents and Azure services.
Access to core Azure services via MCP
Provides MCP access to Azure Storage, Cosmos DB, and the Azure CLI.
Standalone or Copilot-azure integration
Can operate as a standalone server or with the GitHub Copilot for Azure extension in VS Code.
Cross-IDE installation options
Supports installation across VS Code, VS Code Insiders, Visual Studio, IntelliJ, and Eclipse.
Who Is This For?
- AI developers:Enable AI agents to access Azure services via MCP in development.
- Cloud engineers:Operate Azure resources via MCP-enabled AI workflows in production environments.
- Developers using Copilot for Azure:Integrate Copilot for Azure with AI agents to automate Azure tasks.
