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Organization
aliyun

AlibabaCloud CloudOps MCP Server

Publisheraliyun
Repositoryalibaba-cloud-ops-mcp-server
LanguagePython
Forks
34
Stars
115
Available tools
0
Transport typestdio
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    Alibaba Cloud exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    115 stars and 34 forks from the linked repository.

Alibaba Cloud Ops MCP Server

GitHub stars

中文版本

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances.

MCP Maketplace Integration

Features

  • ECS Management: Create, start, stop, reboot, delete instances, run commands, view instances, regions, zones, images, security groups, and more
  • VPC Management: View VPCs and VSwitches
  • RDS Management: List, start, stop, and restart RDS instances
  • OSS Management: List, create, delete buckets, and view objects
  • Cloud Monitor: Get CPU usage, load average, memory usage, and disk usage metrics for ECS instances
  • Application Deployment: Deploy applications to ECS instances with automatic application and application group management
  • Project Analysis: Automatically identify project technology stack and deployment methods (npm, Python, Java, Go, Docker, etc.)
  • Local File Operations: List directories, run shell scripts, and analyze project structures
  • Dynamic API Tools: Support for Alibaba Cloud OpenAPI operations

Prepare

Install uv

bash
# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

Configuration

Use VS Code + Cline to config MCP Server.

To use alibaba-cloud-ops-mcp-server MCP Server with any other MCP Client, you can manually add this configuration and restart for changes to take effect:

json
{
  "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"
      }
    }
  }
}

For detailed parameter description, see MCP startup parameter document

Know More

Tools

ProductToolFunctionImplementationStatus
ECSRunCommandRun CommandOOSDone
StartInstancesStart InstancesOOSDone
StopInstancesStop InstancesOOSDone
RebootInstancesReboot InstancesOOSDone
DescribeInstancesView InstancesAPIDone
DescribeRegionsView RegionsAPIDone
DescribeZonesView ZonesAPIDone
DescribeAvailableResourceView Resource InventoryAPIDone
DescribeImagesView ImagesAPIDone
DescribeSecurityGroupsView Security GroupsAPIDone
RunInstancesCreate InstancesOOSDone
DeleteInstancesDelete InstancesAPIDone
ResetPasswordModify PasswordOOSDone
ReplaceSystemDiskReplace Operating SystemOOSDone
VPCDescribeVpcsView VPCsAPIDone
DescribeVSwitchesView VSwitchesAPIDone
RDSDescribeDBInstancesList RDS InstancesAPIDone
StartDBInstancesStart the RDS instanceOOSDone
StopDBInstancesStop the RDS instanceOOSDone
RestartDBInstancesRestart the RDS instanceOOSDone
OSSListBucketsList BucketAPIDone
PutBucketCreate BucketAPIDone
DeleteBucketDelete BucketAPIDone
ListObjectsView object information in the bucketAPIDone
CloudMonitorGetCpuUsageDataGet CPU Usage Data for ECS InstancesAPIDone
GetCpuLoadavgDataGet CPU One-Minute Average Load Metric DataAPIDone
GetCpuloadavg5mDataGet CPU Five-Minute Average Load Metric DataAPIDone
GetCpuloadavg15mDataGet CPU Fifteen-Minute Average Load Metric DataAPIDone
GetMemUsedDataGet Memory Usage Metric DataAPIDone
GetMemUsageDataGet Memory Utilization Metric DataAPIDone
GetDiskUsageDataGet Disk Utilization Metric DataAPIDone
GetDiskTotalDataGet Total Disk Partition Capacity Metric DataAPIDone
GetDiskUsedDataGet Disk Partition Usage Metric DataAPIDone
Application ManagementOOS_CodeDeployDeploy applications to ECS instances with automatic artifact upload to OSSOOSDone
OOS_GetDeployStatusQuery deployment status of application groupsAPIDone
OOS_GetLastDeploymentInfoRetrieve information about the last deploymentAPIDone
LocalLOCAL_ListDirectoryList files and subdirectories in a directoryLocalDone
LOCAL_RunShellScriptExecute shell scripts or commandsLocalDone
LOCAL_AnalyzeDeployStackIdentify project deployment methods and technology stackLocalDone

Deployment Workflow

The typical deployment workflow includes:

  1. Project Analysis: Use LOCAL_AnalyzeDeployStack to identify the project's technology stack and deployment method
  2. Build Artifacts: Build or package the application locally (e.g., create tar.gz or zip files)
  3. Deploy Application: Use OOS_CodeDeploy to deploy the application to ECS instances
    • Automatically creates application and application group if they don't exist
    • Uploads artifacts to OSS
    • Deploys to specified ECS instances
  4. Monitor Deployment: Use OOS_GetDeployStatus to check deployment status

Contact us

If you have any questions, please join the Alibaba Cloud Ops MCP discussion group (DingTalk group: 113455011677) for discussion.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "alibaba-cloud-ops-mcp-server": {
      "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"
      }
    }
  }
}

Use Alibaba Cloud MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Alibaba Cloud is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Alibaba Cloud as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Alibaba Cloud MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "alibaba-cloud": {
      "command": "npx",
      "args": [
        "-y",
        "alibabacloud-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Alibaba Cloud MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Alibaba Cloud MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Alibaba Cloud to help me with this task?
Alibaba Cloud
Sure. I read it.
Here is what I found using Alibaba Cloud.

Frequently asked questions

What is the Alibaba Cloud MCP server used for?

Alibaba Cloud is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Alibaba Cloud MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Alibaba Cloud with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Alibaba Cloud MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Alibaba Cloud connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Alibaba Cloud MCP to TypingMind?

Alibaba Cloud runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Alibaba Cloud MCP provide in TypingMind?

Alibaba Cloud exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Alibaba Cloud MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Alibaba Cloud requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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