Py Az MCP
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.
2 points
8.7K

What is Azure MCP Server?

Azure MCP Server is a server implementation based on the Model Context Protocol. It allows users to manage Azure cloud resources through simple command - line or API calls. This server encapsulates the functions of Azure CLI and provides a more user - friendly programming interface.

How to use Azure MCP Server?

After installation and configuration, you can use the service by sending HTTP requests or configuring Claude Desktop. The server will handle Azure authentication and command execution and return standardized results.

Use cases

Suitable for developers who need to automate the management of Azure resources, teams that want to simplify the Azure operation process, and scenarios where Azure functions need to be integrated into existing systems.

Main features

Authentication management
Supports service principal authentication and automatic token management to simplify the Azure access process
Compute services
Manage computing resources such as virtual machines, scale sets, and Kubernetes clusters
Storage services
Create and manage storage resources such as storage accounts and containers
App services
Manage web apps, function apps, and their deployments
Security management
Manage key vaults and managed identities to ensure resource security
Advantages
Simplify the Azure resource management process and reduce manual operations
Unified API interface for easy integration into existing systems
Automatically handle authentication and token refresh
Support a wide range of Azure services
Limitations
Requires pre - configuration of Azure CLI and service principals
Some advanced features may require direct use of Azure CLI
Performance depends on the local network and Azure API response speed

How to use

Installation preparation
Ensure that Python 3.13+ and Azure CLI are installed and you have an Azure subscription
Clone the repository
Get the project source code
Install dependencies
Use the uv tool to install the required Python packages
Configure authentication
Run the script to create a service principal and generate the.env configuration file
Start the server
Run the MCP server to start providing services

Usage examples

Monitor virtual machine status
Regularly check the running status of virtual machines and send notifications
Automatically scale app services
Automatically adjust the scale of app services according to traffic
Batch create storage accounts
Create standardized storage resources for multiple environments

Frequently Asked Questions

How to solve the authentication failure problem?
What should I do if I can't access the server after it starts?
How to view the full list of supported Azure CLI commands?
What are the suggestions for performance optimization?

Related resources

Azure CLI official documentation
Complete reference for Azure CLI commands
GitHub repository
Project source code and issue tracking
MCP protocol specification
Official description of the Model Context Protocol
Azure service principal creation guide
How to create and manage Azure service principals

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "Azure": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/your-path-to/py-az-mcp/server-azure.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
7.8K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.0K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.8K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase