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aliyun/alibaba-cloud-ops-mcp-server

Apache-2.0API key required

🎖️ 🐍 ☁️ - A MCP server that enables AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS and widely used cloud products.

PythonAI & LLMs

Install

npx -y aliyun-alibaba-cloud-ops-mcp-server

Required environment variables

ALIBABA_CLOUD_ACCESS_KEYSet in your MCP config
ALIBABA_CLOUD_ACCESS_KEY_SECRETSet in your MCP config

claude_desktop_config.json

claude_desktop_config.json
{
  "mcpServers": {
    "aliyun-alibaba-cloud-ops-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "aliyun-alibaba-cloud-ops-mcp-server"
      ],
      "env": {
        "ALIBABA_CLOUD_ACCESS_KEY": "<YOUR_ALIBABA_CLOUD_ACCESS_KEY>",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "<YOUR_ALIBABA_CLOUD_ACCESS_KEY_SECRET>"
      }
    }
  }
}

Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.

What this does

aliyun/alibaba-cloud-ops-mcp-server exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into other AI providers and LLM tooling without copy-pasting context every turn.

Requirements

This server needs the following environment variables to be set before it can run:

ALIBABA_CLOUD_ACCESS_KEY
ALIBABA_CLOUD_ACCESS_KEY_SECRET

Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).

Common use cases

  • Delegate reasoning to a different model or LLM provider from a Claude session
  • Pull live model documentation, rate limits, or usage data into context
  • Chain Claude with another agent or evaluation pipeline