Alibaba Cloud's ack-mcp-server unifies container operations capabilities, enabling AI assistants and third-party AI agents to perform complex tasks via natural language through the MCP protocol, empowering container-native AIOps. DingTalk discussion group: 70080006301
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"alibabacloud-ack-mcp-server": {
"args": [
"alibabacloud-ack-mcp-server"
],
"command": "uvx"
}
}
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阿里云容器服务 MCP Server 工具集: ack-mcp-server。
将 ACK 集群/资源管理、Kubernetes 原生操作与容器场景的可观测性能力、安全审计、诊断巡检等运维能力统一为 AI 原生的标准化工具集。
本工具集的能力被阿里云容器服务智能助手功能集成。也可支持三方 AI Agent (kubectl-ai、QWen Code、Claude Code、Cursor、Gemini CLI、VS Code等)或自动化系统调用集成,基于 MCP(Model Context Protocol)协议。
实现支持通过自然语言与 AI 助手交互,完成复杂的容器运维任务。帮助构建用户自己的容器场景 AIOps 运维体系。
https://github.com/user-attachments/assets/9e48cac3-0af1-424c-9f16-3862d047cc68
阿里云 ACK 全生命周期的资源管理
list_clusters)Kubernetes 原生操作 (ack_kubectl)
kubectl 类操作(读写权限可控)AI 原生的容器场景可观测性
query_prometheus / query_prometheus_metric_guidance)query_controlplane_logs)query_audit_log)阿里云 ACK 诊断、巡检功能
diagnose_resource)query_inspect_report)企业级工程能力
基于实际场景的 AI 能力测评,支持多种 AI 代理和大模型的效果对比:
| 任务场景 | AI Agent | 大模型 | 成功率 | 平均处理时间 |
|---|---|---|---|---|
| Pod OOM 修复 | qwen_code | qwen3-coder-plus | ✅ 100% | 2.3min |
| 集群健康检查 | qwen_code | qwen3-coder-plus | ✅ 95% | 6.4min |
| 资源异常诊断 | kubectl-ai | qwen3-32b | ✅ 90% | 4.1min |
| 历史资源分析 | qwen_code | qwen3-coder-plus | ✅ 85% | 3.8min |
最新 Benchmark 报告参见 benchmarks/results/ 目录。
建议为 ack-mcp-server 配置的阿里云账号认证为一个主账号的子账号,并遵循最小权限原则,为此子账号赋予所需的 RAM 权限和 RBAC 权限。
如何为阿里云账号的 RAM 账号添加所需权限,参考文档:RAM 权限策略
当前 ack-mcp-server 所需只读权限集为:
{
"Version": "1",
"Statement": [
{
"Effect": "Allow",
"Action": [
"cs:Check*",
"cs:Describe*",
"cs:Get*",
"cs:List*",
"cs:Query*",
"cs:RunClusterCheck",
... [View full README on GitHub](https://github.com/aliyun/alibabacloud-ack-mcp-server#readme)