A powerful Model Context Protocol server that integrates the full suite of Alibaba Cloud Yunxiao DevOps tools into your AI agent environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install alibaba-devops
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install alibaba-devops using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Alibaba Cloud DevOps (Yunxiao) MCP Server?
This skill provides a robust interface for interacting with Alibaba Cloud Yunxiao, a comprehensive DevOps platform. By utilizing this MCP server within Openclaw Skills, developers can bridge the gap between AI agents and cloud infrastructure, enabling automated management of code repositories, project tracking, CI/CD pipelines, and application delivery.
The skill supports a progressive disclosure model, allowing agents to dynamically discover and invoke over 160 specialized tools. Whether you are managing complex organizational structures or fine-tuning deployment orders, this integration ensures your AI agent has the technical context required to execute high-level DevOps operations efficiently.
Alibaba Cloud DevOps (Yunxiao) MCP Server Use Cases
- Automating code reviews by fetching merge requests and posting AI-generated comments.
- Triggering CI/CD pipelines and monitoring execution logs through natural language commands.
- Creating and updating project work items, sprints, and task statuses to keep agile boards in sync.
- Managing repository lifecycles including branch creation, file updates, and commit history analysis.
- Coordinating complex application releases and deployments across virtual machine groups.
How Alibaba Cloud DevOps (Yunxiao) MCP Server Works
- The user provides a Yunxiao Access Token to authenticate the MCP server connection.
- The AI agent uses Openclaw Skills discovery mechanisms to list the 165 available DevOps tools and their required parameters.
- When a task is requested, the agent identifies the appropriate tool (e.g., list_pipelines or create_work_item) and prepares the necessary JSON arguments.
- The MCP server executes the request against the Alibaba Cloud API and returns structured data or execution logs.
- The agent interprets the result to either provide information to the user or proceed with the next step in the DevOps workflow.
Alibaba Cloud DevOps (Yunxiao) MCP Server Setup
To use this skill, you must have an active Alibaba Cloud account and a Yunxiao Access Token. Set the environment variable before running the server:
export YUNXIAO_ACCESS_TOKEN="your_access_token_here"
You can then verify the installation and list available tools via Openclaw Skills using the following command:
npx -y mcporter list --stdio "npx -y alibabacloud-devops-mcp-server" --schema
To call a specific tool directly:
npx -y mcporter call --stdio "npx -y alibabacloud-devops-mcp-server" list_repositories organizationId:"your-org-id"
Alibaba Cloud DevOps (Yunxiao) MCP Server Data Schema & Taxonomy
The skill manages data across several key DevOps domains within the Alibaba Cloud ecosystem:
| Domain | Data Objects | Purpose |
|---|---|---|
| Organization | Departments, Members, Roles | Identity and access management within the DevOps platform. |
| Repository | Branches, Files, Commits, Merge Requests | Source code version control and collaborative review data. |
| Project | Work Items, Sprints, Versions | Agile project management and task tracking metadata. |
| Pipeline | Runs, Jobs, Logs, YAML | CI/CD automation state and execution history. |
| Application | Release Workflows, Change Orders, Tags | Deployment orchestration and delivery tracking. |
Alibaba Cloud DevOps (Yunxiao) MCP Server Advanced Features
- Smart Pipeline Search: Support for natural language time queries when filtering pipeline execution history.
- YAML Generation: Capability to generate pipeline configurations based on textual descriptions.
- Granular Deployment Control: Advanced tools for stopping, resuming, skipping, or retrying specific machines in a deployment order.
- Test Management Integration: Full lifecycle support for test cases, directories, and updating test plan results.
- Global Variable Management: Orchestrate environment-wide variables and group-level configurations for scalable application delivery.
SKILL.md
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