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.
File location: ~/.gemini/settings.json
{
"azureMcp": {
"command": "npx",
"args": [
"-y",
"@azure/mcp"
],
"env": {
"AZURE_CLIENT_ID": "...",
"AZURE_CLIENT_SECRET": "...",
"AZURE_TENANT_ID": "...",
"AZURE_SUBSCRIPTION_ID": "..."
}
}
}If you maintain Azure MCP, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/azure-mcp)
AWS MCP Suite
Official AWS integration — DynamoDB, S3, Lambda, EC2, and the full AWS cloud via natural language
Oracle Cloud MCP
Official Oracle Cloud integration — manage compute, storage, databases, and security from AI
IBM Cloud MCP
Official IBM Cloud integration — manage compute, AI, databases, and security on IBM Cloud