Alibaba DevOps

v0.3.38Cloud Servicesstable

Yunxiao MCP Server provides AI assistants with the ability to interact with the Yunxiao platform. It provides a set of tools that interact with Yunxiao's API, allowing AI assistants to manage Codeup repository, Project, Pipeline, Packages etc.

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 yunxiao mcp server provides ai assistants with the ability to interact with the yunxiao platform. it provides a set of tools that interact with yunxiao's api, allowing ai assistants to manage codeup r...

Yunxiao MCP Server provides AI assistants with the ability to interact with the Yunxiao platform. It provides a set of tools that interact with Yunxiao's API, allowing AI assistants to manage Codeup repository, Project, Pipeline, Packages etc.

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

Features

  • Yunxiao MCP Server provides AI assistants with the ability t

Use Cases

Manage Alibaba Yunxiao platform repositories, projects, and pipelines.
Automate Codeup repository and package management through AI.
Coordinate DevOps workflows on Alibaba Cloud.
aliyun

Maintainer

LicenseApache-2.0
Languagetypescript
Versionv0.3.38
UpdatedMay 20, 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

The Alibaba Cloud DevOps MCP server (alibabacloud-devops-mcp-server) connects AI assistants to the Yunxiao platform, Alibaba Cloud's enterprise DevOps suite. It exposes tools for managing code repositories, branches, merge requests, work items, CI/CD pipelines, artifact packages, application delivery, and test cases through the MCP protocol. Development teams use it to let AI automate code reviews, create merge requests after understanding requirements, manage sprints, and trigger deployments directly from an AI chat interface.

Prerequisites

  • Node.js version 18.0.0 or higher
  • An Alibaba Cloud Yunxiao account (https://www.aliyun.com/product/yunxiao)
  • A Yunxiao Personal Access Token with read/write permissions for organization, code, project, pipeline, packages, application delivery, and test management APIs
  • An MCP-compatible client such as Claude Desktop, Cursor, or iFlow
1

Obtain a Yunxiao Personal Access Token

Log in to the Yunxiao platform and create a Personal Access Token with read and write permissions across all required API scopes: organization management, project collaboration, code management, pipeline management, artifact repository, application delivery, and test management.

2

Add the server to your MCP client configuration

Add the alibabacloud-devops-mcp-server to your MCP client config file, setting your Yunxiao access token as an environment variable. The server runs via npx with no separate installation required.

{
  "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 organization uses a Yunxiao Region Edition deployment with a custom domain instead of the central station, add the YUNXIAO_API_BASE_URL environment variable pointing to your organization's 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 enabled toolsets (optional)

To reduce the number of tools presented to the AI and improve performance, specify only the toolsets you need using the --toolsets argument or the YUNXIAO_TOOLSETS environment variable.

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

Verify the connection

Ask your AI assistant to list your Yunxiao organizations or repositories. A successful response confirms the server is connected and the access token has the required permissions.

Alibaba DevOps Examples

Client configuration

Minimal Claude Desktop configuration using npx to run the Alibaba Cloud DevOps MCP server with a Yunxiao access token.

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

Prompts to try

Use these prompts with your AI assistant after the server is configured to manage your Yunxiao DevOps workflows.

- "List all repositories in my Yunxiao organization"
- "Show open merge requests for the main branch of repo my-service"
- "Create a new work item titled 'Fix login timeout bug' in the backend project"
- "Trigger the production deployment pipeline for application my-app"
- "List all test plans in the QA project and show their current status"

Troubleshooting Alibaba DevOps

Authentication error: 'Invalid access token' when running tools

Verify that YUNXIAO_ACCESS_TOKEN is set correctly and that the token has not expired. Regenerate the token from the Yunxiao personal settings page and ensure all required API scopes are granted.

API calls fail when using a Region Edition Yunxiao deployment

Set YUNXIAO_API_BASE_URL to your organization's specific domain (e.g., https://your-org.devops.aliyuncs.com). The default endpoint targets the central station and will not work for Region Edition deployments.

Too many tools are loaded and AI performance degrades

Use the --toolsets flag to enable only the tool categories you actively use, such as --toolsets=code-management,pipeline-management. This reduces the tool list the model must process on each request.

Frequently Asked Questions about Alibaba DevOps

What is Alibaba DevOps?

Alibaba DevOps is a Model Context Protocol (MCP) server that yunxiao mcp server provides ai assistants with the ability to interact with the yunxiao platform. it provides a set of tools that interact with yunxiao's api, allowing ai assistants to manage codeup repository, project, pipeline, packages etc. 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": { "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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