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How to use Aliangboard: what you can do with it

What is Aliangboard? AliangBoard is an open-source Kubernetes management panel with a Vue 3 frontend, a Node API gateway, an Agent workbench and an MCP server that lets LLMs read, write and operate your clusters.

How do I use it? Run kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml; then Find the port with kubectl -n aliangboard get svc aliangboard; open the panel on the NodePort and sign in. Full steps below.

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3 use cases

Quick start with Aliangboard

  1. Check you have what it needs: A Kubernetes cluster and kubectl, or Docker; An MCP client such as Claude Code for agent access.
  2. Open aliang-one/aliangboard on GitHub and read the README and license.
  3. Run kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml
  4. Find the port with kubectl -n aliangboard get svc aliangboard
  5. Open the panel on the NodePort and sign in
  6. Browse namespaces and workloads

These steps come from our top use case, Deploy a Kubernetes web panel into your cluster, which also has a copy-paste agent prompt.

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About this repo

Requirements

  • A Kubernetes cluster and kubectl, or Docker
  • An MCP client such as Claude Code for agent access

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Questions about Aliangboard

What is Aliangboard?

AliangBoard is an open-source Kubernetes management panel with a Vue 3 frontend, a Node API gateway, an Agent workbench and an MCP server that lets LLMs read, write and operate your clusters. It is an open-source project on GitHub: https://github.com/aliang-one/aliangboard.

How do I use Aliangboard?

Run kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml; then Find the port with kubectl -n aliangboard get svc aliangboard; open the panel on the NodePort and sign in. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Aliangboard for?

Kubernetes operators who want a full web panel plus natural-language operations through an agent.

What can I do with Aliangboard?

3 use cases so far, for example: Deploy a Kubernetes web panel into your cluster; Ask an agent to read logs and roll back releases; Try the panel locally with Docker. Each has steps and a copy-paste agent prompt.

What do I need to run Aliangboard?

A Kubernetes cluster and kubectl, or Docker; An MCP client such as Claude Code for agent access.

What are alternatives to Aliangboard?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Aliangboard safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.