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OpenAI Agents SDK
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How to Install Azure MCP in OpenAI Agents SDK

Official Azure integration — manage resources, deployments, storage, and identity across Azure

What Azure MCP does

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.

azure
microsoft
cloud
resource-management
identity

Installation steps

  1. 1Install: pip install openai-agents
  2. 2Copy the snippet below into your agent code
  3. 3Replace placeholder env values with your real keys
  4. 4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython
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],
)
Full server details GitHub Open Config Editor

Install in other clients

For maintainers

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