Turn Your AI Assistant Into a Cloud Operations Expert

Stop context-switching between your AI chat and the Alibaba Cloud console. This official MCP server lets your AI assistant directly manage your cloud infrastructure through natural language commands.

The Problem: Cloud Ops Friction

You're deep in a coding session when you need to check ECS instance status, restart a service, or grab some CloudMonitor metrics. The usual flow? Tab over to the console, navigate through menus, wait for pages to load, then context-switch back to your code. Each interruption costs precious minutes and breaks your flow.

Direct Cloud Control Through AI

Alibaba Cloud Ops MCP Server bridges your AI assistant directly to Alibaba Cloud APIs. Instead of manual console navigation, you get instant cloud operations through conversation:

• "Show me CPU usage for my production ECS instances" → Real CloudMonitor data in seconds
• "Restart the instances in my staging environment" → Executes via OOS automation
• "Create a new ECS instance with the latest Ubuntu image" → Provisions infrastructure on command
• "List all my RDS instances and their status" → Complete database inventory instantly

Comprehensive Cloud Coverage

The server provides 40+ production-ready tools across core Alibaba Cloud services:

ECS Operations: Start, stop, reboot instances, run commands, manage security groups, view resource inventory Monitoring: CPU usage, memory utilization, disk metrics, load averages - all your CloudMonitor data accessible instantly
Database Management: RDS instance control, status monitoring, lifecycle operations Storage: OSS bucket management, object listing, storage operations Networking: VPC and VSwitch discovery, network resource management

Each tool is implemented using either direct API calls or OOS (Operation Orchestration Service) templates for complex operations.

Real-World Scenarios

Incident Response: When your monitoring alerts fire, ask "What's the CPU usage on my web servers?" instead of hunting through dashboards. Get the data instantly and take action with "Restart the overloaded instances."

Development Workflows: Spin up test environments with natural language. "Create a new ECS instance for testing the new feature branch" provisions infrastructure without breaking your development flow.

Resource Auditing: Need to know what's running where? "Show me all my ECS instances and their regions" gives you complete visibility without console navigation.

Capacity Planning: "What's the disk usage across my production instances?" delivers the metrics you need for scaling decisions.

Drop-In Integration

The server works with your existing AI toolchain immediately:

{
  "mcpServers": {
    "alibaba-cloud-ops-mcp-server": {
      "command": "uvx",
      "args": ["alibaba-cloud-ops-mcp-server@latest"],
      "env": {
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "your-key-id",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "your-secret"
      }
    }
  }
}

Already integrated with Cline, Cursor, ModelScope, and other major AI platforms. Install takes under 60 seconds.

Enterprise-Ready Design

This isn't a community experiment - it's an official Alibaba Cloud project built for production use. The server implements proper authentication, uses official SDK libraries, and follows cloud security best practices. OOS integration means complex operations are handled through battle-tested automation templates.

The Productivity Multiplier

Instead of spending time navigating consoles and remembering CLI syntax, you focus on what matters: building and deploying applications. Your AI assistant becomes your cloud operations partner, handling routine infrastructure tasks while you stay in the code.

For developers managing Alibaba Cloud infrastructure, this server eliminates the operational overhead that breaks development flow. It's the difference between wrestling with cloud consoles and having conversations about what you need done.

Ready to give your AI assistant cloud superpowers? The server is available now on GitHub and integrates with your existing toolchain in minutes.