Azure All

Azure All

Official
azure

Provides direct access to Azure services and resources from AI agents, enabling automation of cloud infrastructure management, monitoring, and deployment tasks.

Supercharge AI agents with seamless access to Azure services using Azure MCP Server. This project enables powerful automation and management of Azure resources with tools for databases, storage, monitoring, security, and best practices. Easily interact with services like Cosmos DB, SQL, Key Vault, Service Bus, and more—all within compatible AI platforms. Azure MCP Server is in Public Preview and rapidly evolving, making it a versatile solution for both developers and enterprise environments looking to integrate Azure functionality.

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What it does

  • Manage Azure Kubernetes Service clusters
  • Deploy applications to Azure infrastructure
  • Configure Azure App Configuration stores
  • Manage RBAC roles and permissions
  • Query Azure Container Registry resources
  • Search official Azure documentation

Best for

DevOps engineers automating Azure deploymentsCloud architects managing multi-service Azure environmentsDevelopers integrating Azure services into applicationsTeams following Azure best practices and compliance
Direct Azure API integrationBuilt-in best practices guidanceSupports Terraform workflows

About Azure All

Azure All is an official MCP server published by azure that provides AI assistants with tools and capabilities via the Model Context Protocol. Supercharge AI platforms with Azure MCP Server for seamless Azure API Management and resource automation. Public Preview It is categorized under cloud infrastructure, developer tools. This server exposes 47 tools that AI clients can invoke during conversations and coding sessions.

How to install

You can install Azure All in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Azure All is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Tools (47)

documentation

Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge.This tool is a hierarchical MCP command router. Sub commands are routed to MCP servers that require specific fields inside the "parameters" object. To invoke a command, set "command" and wrap its args in "parameters". Set "learn=true" to discover available sub commands.

get_bestpractices

Azure best practices - Commands return a list of best practices for code generation, operations and deployment when working with Azure services. It should be called for any code generation, deployment or operations involving Azure, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Apps (ACA), Bicep, Terraform, Azure Cache, Redis, CosmosDB, Entra, Azure Active Directory, Azure App Services, or any other Azure technology or programming language. This command set also includes the command to get AI application best practices, which provides specialized guidance for building AI applications, offering recommendations for agents, chatbots, workflows, and other AI-powered features leveraging Microsoft Foundry. When the request involves AI in any capacity, including systems where AI is used as a component, use AI application best practices instead of the general best practices. Call this tool first before creating any plans, todos or code. Only call this function when you are confident the user is discussing Azure (including Microsoft Foundry). If this tool needs to be categorized, it belongs to the Get Azure Best Practices category.This tool is a hierarchical MCP command router. Sub commands are routed to MCP servers that require specific fields inside the "parameters" object. To invoke a command, set "command" and wrap its args in "parameters". Set "learn=true" to discover available sub commands.

aks

Azure Kubernetes Service operations - Manage and query Azure Kubernetes Service (AKS) resources across subscriptions. Use when you need subscription-scoped visibility into AKS cluster and node pool metadata—including Azure resource IDs, networking endpoints, identity configuration, and provisioning state—for governance or automation. Requires Azure subscription context. Not for kubectl execution, pod lifecycle changes, or in-cluster application deployments—use Kubernetes-native tooling for those tasks.This tool is a hierarchical MCP command router. Sub commands are routed to MCP servers that require specific fields inside the "parameters" object. To invoke a command, set "command" and wrap its args in "parameters". Set "learn=true" to discover available sub commands.

appconfig

App Configuration operations - Commands for managing Azure App Configuration stores and key-value settings. Includes operations for listing configuration stores, managing key-value pairs, setting labels, locking/unlocking settings, and retrieving configuration data.This tool is a hierarchical MCP command router. Sub commands are routed to MCP servers that require specific fields inside the "parameters" object. To invoke a command, set "command" and wrap its args in "parameters". Set "learn=true" to discover available sub commands.

role

Authorization operations - Commands for managing Azure Role-Based Access Control (RBAC) resources. Includes operations for listing role assignments, managing permissions, and working with Azure security and access management at various scopes.This tool is a hierarchical MCP command router. Sub commands are routed to MCP servers that require specific fields inside the "parameters" object. To invoke a command, set "command" and wrap its args in "parameters". Set "learn=true" to discover available sub commands.

This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository.

Please see the following for more context:

https://github.com/microsoft/mcp/blob/main/servers/Azure.Mcp.Server/README.md

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