Alibaba Cloud Ops MCP Server

What does “Alibaba Cloud Ops” MCP Server do?

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server designed to seamlessly integrate with Alibaba Cloud APIs. It empowers AI assistants and development agents to interact with, query, and operate resources on Alibaba Cloud. Supporting services such as ECS (Elastic Compute Service), Cloud Monitor, OOS (Operation Orchestration Service), and other widely used Alibaba Cloud products, this MCP server enables advanced AI-driven workflows. By exposing Alibaba Cloud management features via standardized MCP interfaces, it allows users to automate cloud operations, manage infrastructure, and monitor resources directly from AI-powered platforms, streamlining cloud development and operational tasks.

List of Prompts

No prompt templates are listed in the repository or documentation.

List of Resources

No explicit resource primitives are listed in the repository or documentation.

List of Tools

No explicit tool definitions (e.g. query_database, call_api, etc.) are listed in the repository or the server.py file.

Use Cases of this MCP Server

• Alibaba Cloud Resource Management
  Developers can automate the management of ECS instances, Cloud Monitor, and other Alibaba Cloud resources through natural language or AI-driven workflows.
• Cloud Monitoring and Alerting
  Integrate with Cloud Monitor to automate monitoring, receive alerts, and trigger AI-driven remediation steps.
• Orchestration of Routine Operations
  Use OOS integration to define and automate routine or complex cloud operation tasks.
• AI-driven DevOps Automation
  Leverage AI agents to execute cloud API calls, simplifying DevOps workflows such as scaling, deployments, and health checks.

How to set it up

Windsurf

1. Ensure you have uv installed.
2. Locate the configuration for MCP servers in your Windsurf settings.
3. Add the Alibaba Cloud Ops MCP Server configuration with the following JSON snippet:

   {
     "mcpServers": {
       "alibaba-cloud-ops-mcp-server": {
         "timeout": 600,
         "command": "uvx",
         "args": [
           "alibaba-cloud-ops-mcp-server@latest"
         ],
         "env": {
           "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID",
           "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET"
         }
       }
     }
   }
   

4. Save changes and restart Windsurf.
5. Verify the connection by checking the available MCP servers.

Claude

1. Install uv if not already present.
2. Open Claude’s MCP server configuration file.
3. Insert the Alibaba Cloud Ops MCP Server configuration:

   {
     "mcpServers": {
       "alibaba-cloud-ops-mcp-server": {
         "timeout": 600,
         "command": "uvx",
         "args": [
           "alibaba-cloud-ops-mcp-server@latest"
         ],
         "env": {
           "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID",
           "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET"
         }
       }
     }
   }
   

4. Save the configuration and restart Claude.
5. Confirm the MCP server is active in the UI.

Cursor

1. Install uv as a prerequisite.
2. Navigate to Cursor’s MCP server configuration area.
3. Add the following configuration:

   {
     "mcpServers": {
       "alibaba-cloud-ops-mcp-server": {
         "timeout": 600,
         "command": "uvx",
         "args": [
           "alibaba-cloud-ops-mcp-server@latest"
         ],
         "env": {
           "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID",
           "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET"
         }
       }
     }
   }
   

4. Save and restart Cursor.
5. Verify Alibaba Cloud Ops MCP Server appears in the tools list.

Cline

1. Make sure uv is installed.
2. Open the Cline MCP server configuration file.
3. Add the Alibaba Cloud Ops MCP Server entry:

   {
     "mcpServers": {
       "alibaba-cloud-ops-mcp-server": {
         "timeout": 600,
         "command": "uvx",
         "args": [
           "alibaba-cloud-ops-mcp-server@latest"
         ],
         "env": {
           "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID",
           "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET"
         }
       }
     }
   }
   

4. Save and restart Cline.
5. Confirm the server loads successfully in the MCP Marketplace.

Securing API Keys:
Store your Alibaba Cloud API keys using environment variables in the env section of your server configuration to prevent accidental leakage. For example:

"env": {
  "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID",
  "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET"
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "alibaba-cloud-ops-mcp-server": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change the MCP name and URL as appropriate.

Overview

Based on the above, this MCP server offers solid integration instructions and clear cloud automation use cases, but lacks documentation on MCP resources, prompt templates, and tool primitives. Thus, it is suitable for Alibaba Cloud automation but less so for advanced agentic or compositional MCP workflows.

Our opinion

This MCP server is well-suited for Alibaba Cloud users seeking automation through AI and MCP, but would benefit from more explicit documentation of its resources, tools, and prompt templates for broader agentic use. Overall, I would rate it a 6/10 for completeness and usability based on the above data.

MCP Score