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Works With
About
Kubernetes MCP Server
](https://github.com/containers/kubernetes-mcp-server/blob/main/LICENSE) [ ](https://pypi.org/project/kubernetes-mcp-server/) [ [](https://github.com/containers/kubernetes-mcp-server/actions/workflows/build.yaml)
✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 💬 Community | 🧑💻 Development
https://github.com/user-attachments/assets/be2b67b3-fc1c-4d11-ae46-93deba8ed98e
✨ Features
A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.
- ✅ Configuration:
- Automatically detect changes in the Kubernetes configuration and update the MCP server.
- View and manage the current Kubernetes `.kube/config` or in-cluster configuration.
- ✅ Generic Kubernetes Resources: Perform operations on any Kubernetes or OpenShift resource.
- Any CRUD operation (Create or Update, Get, List, Delete).
- ✅ Pods: Perform Pod-specific operations.
- List pods in all namespaces or in a specific namespace.
- Get a pod by name from the specified namespace.
- Delete a pod by name from the specified namespace.
- Show logs for a pod by name from the specified namespace.
- Top gets resource usage metrics for all pods or a specific pod in the specified namespace.
- Exec into a pod and run a command.
- Run a container image in a pod and optionally expose it.
- ✅ Namespaces: List Kubernetes Namespaces.
- ✅ Events: View Kubernetes events in all namespaces or in a specific namespace.
- ✅ Projects: List OpenShift Projects.
- ☸️ Helm:
- Install a Helm chart in the current or provided namespace.
- List Helm releases in all namespaces or in a specific namespace.
- Uninstall a Helm release in the current or provided namespace.
- 🔧 Tekton: Tekton-specific operations that complement generic Kubernetes resource management.
- Pipeline: Start a Tekton Pipeline by creating a PipelineRun.
- PipelineRun: Restart a PipelineRun with the same spec.
- Task: Start a Tekton Task by creating a TaskRun.
- TaskRun: Restart a TaskRun with the same spec, and retrieve TaskRun logs via pod resolution.
- 🔭 Observability: Optional OpenTelemetry distributed tracing and metrics with custom sampling rates. Includes
/statsendpoint for real-time statistics. See OTEL.md.
Don't lose this
Three weeks from now, you'll want Kubernetes Mcp Server again. Will you remember where to find it?
Save it to your library and the next time you need Kubernetes Mcp Server, 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. Model Context Protocol (MCP) server for Kubernetes and OpenShift. 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.
You'll sign in with your existing account the first time. After that, it just works.
What's New
Imported from GitHub
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