What is Azure Mcp Server

The azure-mcp-server is a Model Context Protocol (MCP) server designed for integrating Microsoft Azure cloud services with Generative AI applications.

Use cases

Use cases for azure-mcp-server include building AI-driven applications that leverage Azure’s cloud capabilities, integrating Azure services into existing applications, and developing enterprise-level solutions that require robust error handling and performance optimization.

How to use

To use azure-mcp-server, install it via pip with ‘pip install azure-mcp-server’ or clone the repository and install from source. Configure it by creating a ‘.env’ file for Azure API requirements, and initialize and start the server in your Python code.

Key features

Key features include comprehensive Azure API coverage, multiple authentication methods, enterprise-ready rate limiting, full error handling and retry logic, and asynchronous support for improved performance.

Where to use

azure-mcp-server can be used in various fields such as cloud computing, AI application development, and enterprise software solutions that require integration with Azure services.

Azure MCP Server

A Model Context Protocol (MCP) server for integrating Azure with GenAI applications.

Overview

Microsoft Azure cloud services integration

Features

• Comprehensive Azure API coverage
• Multiple authentication methods
• Enterprise-ready with rate limiting
• Full error handling and retry logic
• Async support for better performance

Installation

pip install azure-mcp-server

Or install from source:

git clone https://github.com/asklokesh/azure-mcp-server.git
cd azure-mcp-server
pip install -e .

Configuration

Create a .env file or set environment variables according to Azure API requirements.

Quick Start

from azure_mcp import AzureMCPServer

# Initialize the server
server = AzureMCPServer()

# Start the server
server.start()

License

MIT License - see LICENSE file for details