Official Azure integration — manage resources, deployments, storage, and identity across Azure
The official Azure MCP server gives AI agents permission-aware access to Azure resources, from VMs and App Service to storage accounts and Azure AD. It makes cloud operations part of your AI workflow. Features: - Query and manage Azure Resource Manager deployments - Inspect VM and container resources - Manage storage accounts, blobs, and files - Query Azure SQL, Cosmos DB, and Kubernetes resources - Manage Azure AD users, groups, and app registrations - Access monitor alerts, metrics, and logs - Deploy and review ARM/Bicep templates Azure MCP is built for enterprise cloud operations teams that need AI to understand Azure topology and policy.
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@azure/mcp"],
env={
"AZURE_CLIENT_ID": "...",
"AZURE_CLIENT_SECRET": "...",
"AZURE_TENANT_ID": "...",
"AZURE_SUBSCRIPTION_ID": "...",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
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