Alibaba DevOps

v0.3.38Cloud Servicesstable

Enables AI assistants to interact with Alibaba Cloud Yunxiao DevOps platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive organization, development, and delivery tools.

alibabacloud-devopsdevops-mcpalibaba-cloudaliyundevops
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What is Alibaba DevOps?

Alibaba DevOps is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai assistants to interact with alibaba cloud yunxiao devops platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive o...

Enables AI assistants to interact with Alibaba Cloud Yunxiao DevOps platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive organization, development, and delivery tools.

This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables AI assistants to interact with Alibaba Cloud Yunxiao

Use Cases

Manage Alibaba Cloud Yunxiao DevOps projects, repositories, and pipelines.
Coordinate code management, work items, and deployment workflows.
Automate DevOps tasks on Alibaba Cloud through natural language.
aliyun

Maintainer

LicenseApache 2.0
Languagetypescript
Versionv0.3.38
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y alibabacloud-devops-mcp-server

Manual Installation

npx -y alibabacloud-devops-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Alibaba DevOps

AlibabaCloud DevOps MCP Server integrates AI assistants with the Alibaba Cloud Yunxiao DevOps platform, giving them the ability to manage projects, code repositories, work items, pipelines, application delivery, artifact repositories, and test cases through natural language. It exposes comprehensive toolsets covering the full software delivery lifecycle—from reading requirements and writing code to submitting merge requests and tracking deployments—all controlled via the Yunxiao API. Enterprise development teams on Alibaba Cloud use it to reduce context switching, automate repetitive DevOps operations, and accelerate code review and task management workflows.

Prerequisites

  • Node.js 18 or later
  • An Alibaba Cloud account with access to the Yunxiao DevOps platform
  • A Yunxiao Personal Access Token with read and write permissions for organization management, project collaboration, code management, pipeline management, artifact repository, application delivery, and test management
  • An MCP-compatible client such as Claude Desktop, Cursor, or Tongyi Lingma
1

Obtain a Yunxiao Personal Access Token

Log in to the Alibaba Cloud Yunxiao console and generate a Personal Access Token. Grant it read and write permissions for all required API categories: organization management, project collaboration, code management, pipeline management, artifact repository, application delivery, and testing management.

2

Add the server via npx (simplest method)

Add the following configuration to your MCP client config file. The server runs entirely via npx with no separate installation step.

{
  "mcpServers": {
    "yunxiao": {
      "command": "npx",
      "args": ["-y", "alibabacloud-devops-mcp-server"],
      "env": {
        "YUNXIAO_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}
3

Configure for Region Edition (if applicable)

If your Yunxiao instance is a Region edition (organization-specific domain) rather than the central station, add the YUNXIAO_API_BASE_URL environment variable pointing to your organization's Yunxiao domain.

{
  "mcpServers": {
    "yunxiao": {
      "command": "npx",
      "args": ["-y", "alibabacloud-devops-mcp-server"],
      "env": {
        "YUNXIAO_ACCESS_TOKEN": "<YOUR_TOKEN>",
        "YUNXIAO_API_BASE_URL": "https://your-org.devops.aliyuncs.com"
      }
    }
  }
}
4

Limit to specific toolsets (optional)

To reduce the number of tools presented to the AI and improve performance, restrict the server to only the toolsets you need using the --toolsets argument.

npx -y alibabacloud-devops-mcp-server --toolsets=code-management,project-management
5

Restart your MCP client

Restart Claude Desktop or your MCP client to load the Yunxiao server. Once connected, you can ask the AI to list your projects, repositories, or open work items.

Alibaba DevOps Examples

Client configuration for Claude Desktop

Standard configuration for the Alibaba Cloud Yunxiao DevOps MCP server using the Central Station API endpoint.

{
  "mcpServers": {
    "yunxiao": {
      "command": "npx",
      "args": ["-y", "alibabacloud-devops-mcp-server"],
      "env": {
        "YUNXIAO_ACCESS_TOKEN": "your_personal_access_token_here"
      }
    }
  }
}

Prompts to try

Example prompts for managing Yunxiao DevOps resources through natural language.

- "List all projects in my Yunxiao organization"
- "Show me open work items assigned to me in the backend project"
- "Create a merge request for branch feature/login-fix targeting main"
- "List all pipelines in the payments service and show their last run status"
- "Find all test cases in the checkout module that failed in the last test plan"

Troubleshooting Alibaba DevOps

API calls return 401 Unauthorized errors

Verify your YUNXIAO_ACCESS_TOKEN is valid and has not expired. In the Yunxiao console, check that the token has all required permissions: organization management, project collaboration, code management, pipeline management, artifact repository, application delivery, and test management. Regenerate the token if necessary.

Server connects but returns 'organization not found' errors

If you are using a Region edition Yunxiao instance (not the Central Station at openapi-rdc.aliyuncs.com), you must set the YUNXIAO_API_BASE_URL environment variable to your organization-specific domain such as https://your-org.devops.aliyuncs.com.

Too many tools overwhelm the AI context or cause slow responses

Use the --toolsets argument to restrict the server to only the capability areas you need. For example: --toolsets=code-management,project-management loads only repository and work item tools, significantly reducing the tool list.

Frequently Asked Questions about Alibaba DevOps

What is Alibaba DevOps?

Alibaba DevOps is a Model Context Protocol (MCP) server that enables ai assistants to interact with alibaba cloud yunxiao devops platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive organization, development, and delivery tools. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Alibaba DevOps?

Install via npm with the command: npx -y alibabacloud-devops-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Alibaba DevOps?

Alibaba DevOps works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Alibaba DevOps free to use?

Yes, Alibaba DevOps is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.

Browse More Cloud Services MCP Servers

Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "alibabacloud-devops-mcp-server": { "command": "npx", "args": ["-y", "alibabacloud-devops-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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