What do you want to do?
3 use cases
-
Deploy a Kubernetes web panel into your cluster
Apply one manifest to get a multi-cluster panel with exec, port-forward and debug containers.
- REPO
aliang-one/aliangboard - Software and DevOps
- Intermediate
View prompt
Deploy aliang-one/aliangboard with `kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml`, read the NodePort, and confirm the panel lists the cluster's namespaces.
- REPO
-
Ask an agent to read logs and roll back releases
Connect the built-in MCP server so an LLM can read pod logs, debug containers or roll back in plain language.
View prompt
Through the aliangboard MCP server, find pods in <namespace> that are not Ready, show their last 50 log lines, and propose a fix. Do not change resources without my confirmation.
-
Try the panel locally with Docker
Run the published image with a persistent volume to evaluate the panel before installing in-cluster.
- REPO
aliang-one/aliangboard - Software and DevOps
- Intermediate
View prompt
Run ghcr.io/aliang-one/aliangboard:latest on port 8787 with a data volume, add <kubeconfig context>, and confirm the namespace overview loads.
- REPO
Quick start with Aliangboard
- Check you have what it needs: A Kubernetes cluster and kubectl, or Docker; An MCP client such as Claude Code for agent access.
- Open aliang-one/aliangboard on GitHub and read the README and license.
- Run
kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml - Find the port with
kubectl -n aliangboard get svc aliangboard - Open the panel on the NodePort and sign in
- 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
- Who it is forKubernetes operators who want a full web panel plus natural-language operations through an agent.
- Why it is hot113 stars, launched 76 days ago
- LanguageJavaScript
- Sourcegithub.com/aliang-one/aliangboard · Back to Hot repos
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.