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Alibaba cloud ops MCP server: MCP server, setup and security

Alibaba cloud ops MCP server is an open-source MCP server published on GitHub that lets an AI agent operate Alibaba Cloud resources including ECS Cloud Monitor and OOS. Its repository has 133 stars and its last commit is from October 21, 2026 and it is licensed under Apache-2.0.

OfficialActively maintained

What Alibaba cloud ops MCP server does

According to its repository: “Operate Alibaba Cloud resources, including ECS, Cloud Monitor, OOS and other widely used cloud products.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Alibaba cloud ops MCP server is listed under Cloud platforms, a category of 116 servers in the directory, where it ranks #38 by stars.

Topics declared by the repository: alibabacloud, cloudops.

Installing and connecting Alibaba cloud ops MCP server

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Alibaba cloud ops MCP server. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on April 17, 2025, the aliyun/alibaba-cloud-ops-mcp-server repository has 133 stars and 40 forks, with 0 open issues. It has more stars than 71% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

CoderCoder : 17.2K17.2KKubesharkKubeshark : 12.1K12.1KAwslabs MCPAwslabs MCP : 9.8K9.8KMCP server cloudflareMCP server cloudflare : 4.4K4.4KKubefwdKubefwd : 4.2K4.2KSocraticodeSocraticode : 3.4K3.4KKubernetes MCP serverKubernetes MCP server : 2.2K2.2KAzure DevOps (ADO)Azure DevOps (ADO) : 2.1K2.1KAlibaba cloud ops MCP serverAlibaba cloud ops MCP server : 133133
GitHub stars of the most followed servers in the category (log scale); Alibaba cloud ops MCP server in orange. Checked October 25, 2026.

Verdict

Alibaba cloud ops MCP server is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Permissive licence (Apache-2.0)

Limitations

  • Install from source

Frequently asked questions

How do I install Alibaba cloud ops MCP server?

No package is declared in the MCP registry: clone the aliyun/alibaba-cloud-ops-mcp-server repository, follow its README, then declare the start command in your client's MCP configuration.

Is Alibaba cloud ops MCP server free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Alibaba cloud ops MCP server safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Alibaba cloud ops MCP server?

In the same category: MCP server cloudflare, Awslabs MCP, Terraform, and Kubefwd. MCP server cloudflare and Awslabs MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score