GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
A Model Context Protocol (MCP) server for Kubernetes and OpenShift
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": [
"-y",
"kubernetes-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add kubernetes -- npx -y kubernetes-mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": [
"-y",
"kubernetes-mcp-server"
]
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"kubernetes": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"kubernetes-mcp-server"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 5, 2026
The registry name was verified with the GitHub account containers, which owns the repo
Code last changed today
Uses Apache-2.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Needs the server’s tool list first; this check starts in the next step
Compared only with servers in this prototype, not the whole registry.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed today, and the latest version (0.1.0) reached the registry 7 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Python (uv), Docker on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 💬 Community | 🧑💻 Development
https://github.com/user-attachments/assets/be2b67b3-fc1c-4d11-ae46-93deba8ed98e
A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.
.kube/config or in-cluster configuration./stats endpoint for real-time statistics. See OTEL.md.Unlike other Kubernetes MCP server implementations, this IS NOT just a wrapper around kubectl or helm command-line tools. It is a Go-based native implementation that interacts directly with the Kubernetes API server.
There is NO NEED for external dependencies or tools to be installed on the system. If you're using the native binaries you don't need to have Node or Python installed on your system.
Claude Code
Follow the dedicated Claude Code getting started guide in our user documentation.
For a secure production setup with dedicated ServiceAccount and read-only access, also review the Kubernetes setup guide.
If you have npm installed, this is the fastest way to get started with kubernetes-mcp-server on Claude Desktop.
Open your claude_desktop_config.json and add the mcp server to the list of mcpServers:
{
"mcpServers": { "kubernetes": { "command": "npx", "args": ["-y", "kubernetes-mcp-server@latest"] } } }
Install the Kubernetes MCP server extension in VS Code Insiders by pressing the following link:
Alternatively, you can install the extension manually by running the following command:
# For VS Code
code --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'
code-insiders --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'
Install the Kubernetes MCP server extension in Cursor by pressing the following link:
Alternatively, you can install the extension manually by editing the mcp.json file:
{
"mcpServers": { "kubernetes-mcp-server": { "command": "npx", "args": ["-y", "kubernetes-mcp-server@latest"] } } }
Goose CLI is the easiest (and cheapest) way to get rolling with artificial intelligence (AI) agents.
If you have npm installed, this is the fastest way to get started with kubernetes-mcp-server.
Open your goose config.yaml and add the mcp server to the list of mcpServers:
extensions:
kubernetes: command: npx args:
Demo showcasing how Kubernetes MCP server is leveraged by Claude Desktop to automatically diagnose and fix a deployment in OpenShift without any user assistance.
https://github.com/user-attachments/assets/a576176d-a142-4c19-b9aa-a83dc4b8d941
In this demo, I walk you through the process of _Vibe Coding_ a simple game using VS Code and how to leverage Podman MCP server and Kubernetes MCP server to deploy it to OpenShift.
In this demo, I'll show you how to set up Kubernetes MCP server in VS code just by clicking a link.
The Kubernetes MCP server can be configured using command line (CLI) arguments.
You can run the CLI executable either by using npx, uvx, or by downloading the latest release binary.
# Run the Kubernetes MCP server using npx (in case you have npm and node installed)
npx kubernetes-mcp-server@latest --help
# Run the Kubernetes MCP server using uvx (in case you have uv and python installed)
uvx kubernetes-mcp-server@latest --help
# Run the Kubernetes MCP server using the latest release binary
./kubernetes-mcp-server --help
| Option | Description |
|---|---|
--version | Print version information and quit. |
--config | Path to the main TOML configuration file, or - to read it from stdin (HTTP mode only). See Configuration Reference for all options (port, toolsets, read_only, kubeconfig, …). |
--config-dir | Directory of lexical .toml files. Usable alone or with --config. Omitted means no drop-ins. Relative paths are resolved against the working directory. |
Note: Runtime settings are TOML (or existing env names), not CLI flags. See Configuration Changes for the flag-to-TOML mapping.
For complex or persistent configurations, use TOML configuration files instead of CLI arguments:
kubernetes-mcp-server --config /etc/kubernetes-mcp-server/config.toml
Example configuration:
log_level = 2
read_only = true toolsets = ["core", "config", "helm", "kubevirt"]
[[denied_resources]] group = "" version = "v1" kind = "Secret"
[telemetry] endpoint = "http://localhost:4317"
For comprehensive TOML configuration documentation, including:
See the [Configuration Reference](docs/configuration.md).
The server supports the MCP logging capability, allowing clients to receive debugging information via structured log messages. Kubernetes API errors are automatically categorized and logged to clients with appropriate severity levels. MCP log notifications apply best-effort redaction for known credential patterns before being sent to clients. This does not sanitize tool results or guarantee removal of a