This server bridges Claude to Microsoft Azure's cloud platform, though the documentation doesn't specify which Azure services are actually implemented. The repo claims comprehensive API coverage with features like async support, rate limiting, and multiple authentication methods, but the README lacks concrete examples of available tools or resources. You'd presumably reach for this when automating Azure operations through Claude, whether that's managing VMs, storage, databases, or other Azure services. The Python implementation uses stdio transport and requires Azure credentials via environment variables. Worth checking the actual source code to see which Azure APIs are exposed before committing to it for production workflows.
A Model Context Protocol (MCP) server for integrating Azure with GenAI applications.
Microsoft Azure cloud services integration
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 .
Create a .env file or set environment variables according to Azure API requirements.
from azure_mcp import AzureMCPServer
# Initialize the server
server = AzureMCPServer()
# Start the server
server.start()
MIT License - see LICENSE file for details
AZURE_SUBSCRIPTION_ID*Azure Subscription ID
AZURE_CLIENT_ID*secretAzure Client ID
AZURE_CLIENT_SECRET*secretAzure Client Secret
AZURE_TENANT_ID*Azure Tenant ID
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