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Golang-based MCP server connecting to Kubernetes
MCP K8S Go
Features ⚙ Browse With Inspector ⚙ Use With Claude ⚙ Contributing ↗ ⚙ About MCP ↗
Features
MCP 💬 prompt 🗂️ resource 🤖 tool
- 🗂️🤖 List Kubernetes contexts
- 💬🤖 List Kubernetes namespaces
- 🤖 List, get, create and modify any Kubernetes resources
- includes custom mappings for resources like pods, services, deployments
- 🤖 List Kubernetes nodes
- 💬 List Kubernetes pods
- 🤖 Get Kubernetes events
- 🤖 Get Kubernetes pod logs
- 🤖 Run command in Kubernetes pod
Browse With Inspector
To use latest published version with Inspector you can run this:
Use With Claude
Demo Usage
Following chat with Claude Desktop demonstrates how it looks when selected particular context as a resource and then asked to check pod logs for errors in kube-system namespace:
To use this MCP server with Claude Desktop (or any other client) you might need to choose which way of installation to use.
You have multiple options:
| Smithery | mcp-get | Pre-built NPM | Pre-built in Github | From sources | Using Docker |
|---|
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want strowk/mcp-k8s-go again. Will you remember where to find it?
Save it to your library and the next time you need strowk/mcp-k8s-go, 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. strowk/mcp-k8s-go. 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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