Developer · Local MCP server

Kubeleash

Kubernetes MCP server with RBAC-style, context-scoped guardrails for AI agents.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.kubeleash/kubeleash
Version
0.3.0
Status
Active
Category
developer
Transport
stdio (local process)
Package
OCI image (Docker)
Published
2026-05-27
Updated
2026-05-27
Publisher
kubeleash (GitHub)
Namespace
Namespace verified by the MCP Registry via GitHub (github.com/kubeleash) · how
Listed under
Kubernetes MCP servers
Repository
github.com/kubeleash/kubeleash
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
OCI image (Docker)ghcr.io/kubeleash/kubeleash:0.3.0-stdioNone declared

How to connect Kubeleash

Kubeleash runs locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: ghcr.io/kubeleash/kubeleash:0.3.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Docker or another OCI container runtime; started with docker run - the usual command is docker run -i --rm ghcr.io/kubeleash/kubeleash:0.3.0.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "kubeleash": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/kubeleash/kubeleash:0.3.0"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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