# AlibabaCloud DevOps MCP Server

> Use this tool when you need to streamline project management, automate workflows, and enhance collaboration on the Alibaba Cloud Yunxiao DevOps platform. It solves problems related to disorganized code repositories, inefficient pipelines, and manual deployment processes by providing a comprehensive interface for managing projects, work items, and testing workflows. The tool accepts inputs such as project requirements and code changes, and outputs include automated deployments, testing results, and workflow analytics.

Canonical page: https://skillsregistry.net/skills/aliyun-alibabacloud-devops-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aliyun-alibabacloud-devops-mcp-server

## Description

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.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tq3jc6mv1s)
- **Repository:** <https://github.com/aliyun/alibabacloud-devops-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aliyun-alibabacloud-devops-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aliyun-alibabacloud-devops-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aliyun-alibabacloud-devops-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
