What is Azure MCP Server?
A Model Context Protocol (MCP) server implementation for Azure resource management and exploration. It provides a structured interface to interact with Azure resources, bridging MCP clients and Azure services via tools for managing Resource Groups and Storage Accounts. Built with Python, it supports asynchronous operations, multiple authentication methods, and structured response formats.
How to use Azure MCP Server?
Install Python 3.13+, the uv package manager, and the Azure CLI (recommended). Clone the repo, create a virtual environment, and sync dependencies from pyproject.toml. Configure environment variables in a .env file (subscription ID, tenant ID, client ID/secret). Start the server via uv run server.py for stdio transport or uv run main.py for SSE transport (listens on http://127.0.0.1:8000). Alternatively, build and run the Docker container (docker build -t mcp-azure-server:latest .). Invoke tools such as list_resource_groups with required parameters (subscription_id, auth_type).
Key features of Azure MCP Server
- Asynchronous Azure operations using modern Azure SDK
- Three authentication methods: default, service principal, managed identity
- Structured response format via MCP protocol
- Comprehensive error handling and logging
- Environment variable configuration support
- Containerized deployment option with Docker
Use cases of Azure MCP Server
- Programmatically list and inspect Azure resource groups in a subscription
- Query storage accounts and their capacity usage across a subscription
- Monitor Azure infrastructure via MCP-enabled chat assistants or custom clients
- Automate resource management workflows with service principal credentials
- Deploy in Azure-hosted environments using managed identity authentication
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