Alibaba Cloud Ops MCP Server vs Kubernetes MCP Server

A side-by-side look at the Alibaba Cloud Ops MCP Server and Kubernetes MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Alibaba Cloud Ops MCP Server logoAlibaba Cloud Ops MCP ServerCloud Platforms · Local subprocess (stdio)A MCP server that enables AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS and widely used cloud products.65GreatAuth: api key requiredKubernetes MCP Server logoKubernetes MCP ServerCloud Platforms · Local subprocess (stdio)A Model Context Protocol (MCP) server for Kubernetes and OpenShift68GreatAuth: other

Verdict: choose Alibaba Cloud Ops MCP Server for cloud platforms work as a local process; choose Kubernetes MCP Server for cloud platforms as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Alibaba Cloud Ops MCP Server logoChoose Alibaba Cloud Ops MCP Server when

  • You need dedicated capabilities in the Cloud Platforms domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: ALIBABA_CLOUD_ACCESS_KEY_ID, ALIBABA_CLOUD_ACCESS_KEY_SECRET.
  • You want tools like OOS_RunCommand, OOS_StartInstances, OOS_StopInstances.
Explore Alibaba Cloud Ops MCP Server

Kubernetes MCP Server logoChoose Kubernetes MCP Server when

  • You need dedicated capabilities in the Cloud Platforms domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: other.
  • You want tools like configuration_contexts_list, targets_list, configuration_view.
Explore Kubernetes MCP Server

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAlibaba Cloud Ops MCP Server logoAlibaba Cloud Ops MCP ServerKubernetes MCP Server logoKubernetes MCP Server
CategoryCloud PlatformsCloud Platforms
Quality signal65/100 · Great68/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredother
PricingBYOK (pay the provider)Free
Required env varsALIBABA_CLOUD_ACCESS_KEY_IDALIBABA_CLOUD_ACCESS_KEY_SECRETNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars1322,173
Directory activity 9 views 0 installs 0 upvotes 5 views 0 installs 0 upvotes
Tools4076

Tools & capabilities

Alibaba Cloud Ops MCP Server tools 40

  • OOS_RunCommand批量在多台ECS实例上运行云助手命令,适用于需要同时管理多台ECS实例的场景,如应用程序管理和资源标记操作等。
  • OOS_StartInstances批量启动ECS实例,适用于需要同时管理和启动多台ECS实例的场景,例如应用部署和高可用性场景。
  • OOS_StopInstances批量停止ECS实例,适用于需要同时管理和停止多台ECS实例的场景。
  • OOS_RebootInstances批量重启ECS实例,适用于需要同时管理和重启多台ECS实例的场景。
  • OOS_RunInstances批量创建ECS实例,适用于需要同时创建多台ECS实例的场景,例如应用部署和高可用性场景。
  • OOS_ResetPassword批量修改ECS实例的密码,请注意,本操作将会重启ECS实例
  • OOS_ReplaceSystemDisk批量替换ECS实例的系统盘,更换操作系统
  • OOS_StartRDSInstances批量启动RDS实例,适用于需要同时管理和启动多台RDS实例的场景,例如应用部署和高可用性场景。
  • OOS_StopRDSInstances批量停止RDS实例,适用于需要同时管理和停止多台RDS实例的场景。
  • OOS_RebootRDSInstances批量重启RDS实例,适用于需要同时管理和重启多台RDS实例的场景。
  • OOS_CodeDeploy 将应用部署到阿里云ECS实例。使用阿里云OOS(运维编排服务)的CodeDeploy功能实现自动化部署。 ## 前置条件(调用此工具前需完成) 1. **识别项目类型**:读取项目配置文件(package.json、pom.xml、requirements.txt等),确定技术栈和部署语言(通过deploy_language参数传入) 2. **构建部署产物**:执行构建命令生成压缩包(tar.gz、zip等),保存到 `.code_deploy/release` 目录 3. **准备ECS实例**:确保目标ECS实例已创建,获取实例ID列表 ## ⚠️ 重要提示:启动和停止命令参数 **正常情况下,不需要提供 application_start 和 application_stop 参数!** - 系统会自动通过规则引擎分析部署文件和 deploy_language,自动生成启动和停止命令 - 自动生成的命令包含所有必要的防御性检查(文件存在性、路径存在性等) - 自动生成的命令正确处理压缩包解压、目录切换、后台运行、日志重定向等 - 对于 Node.js 应用,自动生成的命令会先执行 `npm install` 安装依赖 **只有在以下情况下才需要手动提供这两个参数:** 1. 用户明确指定了自定义的启动/停止命令 2. 用户提供了关于启动/停止命令的特殊要求或说明 **调用建议:直接调用工具,不传 application_start 和 application_stop 参数即可。** ## 自动生成的命令规范(供参考,了解即可) ### 1. 防御性命令设计 自动生成的命令包含存在性检查,避免因路径/文件/命令不存在导致失败: - 压缩包:先检查文件存在再解压 `[ -f app.tar.gz ] && tar -xzf app.tar.gz || exit 1` - 可执行文件:检查文件存在再执行 `[ -f start.sh ] && chmod +x start.sh && ./start.sh || exit 1` - 命令可用性:检查命令是否存在 `command -v npm >/dev/null 2>&1 || exit 1` - 目录切换:先验证路径存在再切换 `[ -d dir ] && cd dir || exit 1` ### 2. 压缩包处理规范 如果产物是压缩包,自动生成的命令会先解压: - 使用非交互式命令:`tar -xzf`、`unzip -o`(自动覆盖,无需确认) - 解压后执行启动命令,确保路径对应 - 示例:`tar -xzf app.tar.gz && [ -d app ] && cd app && nohup java -jar app.jar > /root/app.log 2>&1 &` ### 3. 后台运行与日志 自动生成的启动命令使用后台运行并重定向日志: - 格式:`nohup <command> > /root/app.log 2>&1 &` - 说明:nohup保持后台运行,`>` 重定向标准输出,`2>&1` 合并错误输出,`&` 后台执行 ## 注意事项 - 应用和应用分组会自动检查,已存在则跳过创建 - 未提供ECS实例ID时,工具会返回创建引导链接 - 部署信息自动保存到 `.code_deploy/.application.json` - project_path未提供时,会从file_path推断或使用当前目录 - 部署完成后,以markdown格式展示service_link供用户跳转
  • OOS_GetLastDeploymentInfo 获取上次部署的应用信息
  • +28 more on the listing page

Kubernetes MCP Server tools 76

  • configuration_contexts_listList all available context names and associated server urls from the kubeconfig file
  • targets_listList all available targets
  • configuration_viewGet the current Kubernetes configuration content as a kubeconfig YAML
  • events_listList Kubernetes events (warnings, errors, state changes) for debugging and troubleshooting in the current cluster from all namespaces
  • namespaces_listList all the Kubernetes namespaces in the current cluster
  • projects_listList all the OpenShift projects in the current cluster
  • nodes_logGet logs from a Kubernetes node (kubelet, kube-proxy, or other system logs). This accesses node logs through the Kubernetes API proxy to the kubelet
  • nodes_stats_summaryGet detailed resource usage statistics from a Kubernetes node via the kubelet's Summary API. Provides comprehensive metrics including CPU, memory, filesystem, and network usage at the node, pod, and container levels. On systems with cgroup v2 and kernel 4.20+, also includes PSI (Pressure Stall Info…
  • nodes_topList the resource consumption (CPU and memory) as recorded by the Kubernetes Metrics Server for the specified Kubernetes Nodes or all nodes in the cluster
  • pods_listList all the Kubernetes pods in the current cluster from all namespaces
  • pods_list_in_namespaceList all the Kubernetes pods in the specified namespace in the current cluster
  • pods_getGet a Kubernetes Pod in the current or provided namespace with the provided name
  • +64 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Alibaba Cloud Ops MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "aliyun-alibaba-cloud-ops-mcp-server": {
      "command": "uvx",
      "args": [
        "alibaba-cloud-ops-mcp-server@latest"
      ],
      "env": {
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "YOUR_ALIBABA_CLOUD_ACCESS_KEY_ID_HERE",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "YOUR_ALIBABA_CLOUD_ACCESS_KEY_SECRET_HERE"
      }
    }
  }
}

Kubernetes MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "kubernetes-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "kubernetes-mcp-server@latest"
      ]
    }
  }
}

Frequently asked questions

Alibaba Cloud Ops MCP Server is categorized under Cloud Platforms and uses a local stdio subprocess. Kubernetes MCP Server belongs to Cloud Platforms and uses a local stdio subprocess. Pick Alibaba Cloud Ops MCP Server for cloud platforms work and Kubernetes MCP Server for cloud platforms.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Alibaba Cloud Ops MCP Server is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Kubernetes MCP Server is listed as free. Auth: other. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add aliyun-alibaba-cloud-ops-mcp-server and kubernetes-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Alibaba Cloud Ops MCP Server has a quality signal of 65/100 (Great) with 9 views, 0 installs and 132 GitHub stars. Kubernetes MCP Server has 68/100 (Great) with 5 views, 0 installs and 2,173 GitHub stars.