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Kom - Kubernetes Operations Manager
English | 中文 ](https://github.com/weibaohui/kom/blob/master/LICENSE) [
kom 是一个用于 Kubernetes 操作的工具,相当于SDK级的kubectl、client-go的使用封装。 它提供了一系列功能来管理 Kubernetes 资源,包括创建、更新、删除和获取资源。这个项目支持多种 Kubernetes 资源类型的操作,并能够处理自定义资源定义(CRD)。 通过使用 kom,你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作,甚至可以使用SQL语句来查询、管理k8s资源。
特点
- 1.简单易用:kom 提供了丰富的功能,包括创建、更新、删除、获取、列表等,包括对内置资源以及CRD资源的操作。
- 2.多集群支持:通过RegisterCluster,你可以轻松地管理多个 Kubernetes 集群,支持AWS EKS集群。
- 3.MCP支持:支持多集群的MCP管理,同时支持stdio、sse两种模式,内置58种工具,支持SSE模式,支持私有化部署,多人共享。支持超过百种组合操作。
- 4.支持跨命名空间:通过kom.Namespace("default","kube-system").List(&items) 跨命名空间查询资源。
- 5.链式调用:kom 提供了链式调用,使得操作资源更加简单和直观。
- 6.支持自定义资源定义(CRD):kom 支持自定义资源定义(CRD),你可以轻松地定义和操作自定义资源。
- 7.支持回调机制,轻松拓展业务逻辑,而不必跟k8s操作强耦合。
- 8.支持POD内文件操作,轻松上传、下载、删除文件。
- 9.支持高频操作封装,如deployment的restart重启、scale扩缩容、启停等20余项操作功能。
- 10.支持SQL查询k8s资源。select * from pod where metadata.namespace='kube-system' or metadata.namespace='default' order by metadata.creationTimestamp desc
- 11.支持查询缓存,在高频、批量查询场景下,可设置缓存过期时间,提升查询性能。列表过滤条件不受缓存影响。
- 12.支持Prometheus查询,支持通过集群内的Prometheus服务或外部Prometheus地址进行监控数据查询,支持瞬时查询和区间查询,提供多种结果解析方式。
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
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Save it to your library and the next time you need weibaohui/kom, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. weibaohui/kom. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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