Alicloud Ops MCP
A

Alicloud Ops MCP

An Alibaba Cloud operation MCP server for Amazon Q CLI, supporting the management of multiple cloud services such as ECS, VPC, and RDS
2 points
7.7K

What is the Alibaba Cloud Operation MCP Server?

This is a middleware server designed specifically for Amazon Q CLI, providing the ability to operate Alibaba Cloud services through the Model Context Protocol (MCP). It allows developers to directly manage resources such as Alibaba Cloud ECS cloud servers, VPC networks, and RDS databases through the command - line interface.

How to use the Alibaba Cloud Operation MCP Server?

After simple installation and configuration, you can send instructions through Amazon Q CLI to operate Alibaba Cloud resources. The system will automatically handle authentication, API calls, and result returns.

Applicable Scenarios

Suitable for DevOps scenarios that require rapid operation of Alibaba Cloud resources, execution of automated operation and maintenance tasks, and development environments that need to be integrated with existing CLI toolchains.

Main Features

ECS Cloud Server Management
Supports complete ECS lifecycle operations such as starting/stopping instances, querying instance status, and managing images.
VPC Network Configuration
Can manage network configurations such as virtual private clouds, security group rules, and subnet divisions.
RDS Database Management
Supports operations such as creating database instances, backup and recovery, and parameter configuration.
OSS Object Storage
Provides OSS operation functions such as file upload and download, and storage bucket management.
Cloud Monitoring Integration
Can query monitoring indicators, set alarm rules and other CloudMonitor functions.
Advantages
One - click installation and configuration, quickly access existing workflows
Unified operation interface, simplifies the complexity of multi - service management
Automatically handles API authentication and signatures, making it more secure to use
Supports common operations of mainstream Alibaba Cloud services
Limitations
Currently only supports the core functions of some Alibaba Cloud services
Requires a Python 3.10+ environment
Access credentials need to be configured for the first use

How to Use

Install the Dependent Environment
Ensure that Python 3.10+ and the uv package manager are installed on the system.
Get the Project Code
Clone the GitHub repository to the local machine.
Install Dependencies
Run the installation script to automatically configure the environment.
Configure Access Credentials
Fill in the Alibaba Cloud AccessKey information in the.env file.
Configure Amazon Q CLI
Add the server configuration to ~/.aws/amazonq/mcp.json.

Usage Examples

Query ECS Instances
Get information about all running ECS instances in a specific region.
Create an OSS Storage Bucket
Create a new OSS storage bucket in the specified region.
RDS Backup Management
Create a manual backup for an RDS instance.

Frequently Asked Questions

What should I do if a Python version error occurs during installation?
How to verify if the configuration is correct?
What could be the reasons for the server to fail to start?
Which Alibaba Cloud regions are supported?
How to add support for new services?

Related Resources

Alibaba Cloud Official Documentation
Official API documentation for various Alibaba Cloud services
GitHub Repository
Project source code and the latest version
Amazon Q CLI Documentation
Official usage guide for Amazon Q CLI
uv Documentation
Official documentation for the Python package management tool uv

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "alibaba-cloud-ops-mcp-server": {
      "timeout": 30000,
      "command": "uv",
      "args": [
        "--directory",
        "/绝对路径/to/alicloud-ops-mcp",
        "run",
        "python",
        "complete_fastmcp_server.py"
      ],
      "env": {
        "PYTHONUNBUFFERED": "1"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "alibaba-cloud-ops-mcp-server": {
      "timeout": 30000,
      "command": "uv",
      "args": [
        "--directory",
        "/home/user/alicloud-ops-mcp",
        "run",
        "python",
        "complete_fastmcp_server.py"
      ],
      "env": {
        "PYTHONUNBUFFERED": "1"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase