K8s Lens MCP Server

by firas-mcp-servers Your server? Claim it

local only

K8s Lens runs on your own machine — the client starts it, so there is no endpoint to ping. 50 installs a week from pypi.

MCP server for natural-language Kubernetes operations across single or multi-cluster environments.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 11 · avg 6 · +25% w/w

a month agotoday

Installs / week

pypi · k8s-lens-mcp

—

Stars

on GitHub

—

Last commit

0 releases in 90 days

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License

language unknown

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add k8s-lens-mcp -- uvx k8s-lens-mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "k8s-lens-mcp": {
      "args": [
        "k8s-lens-mcp"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.k8s-lens-mcp]
command = "uvx"
args = ["k8s-lens-mcp"]

.cursor/mcp.json

{
  "mcpServers": {
    "k8s-lens-mcp": {
      "args": [
        "k8s-lens-mcp"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "k8s-lens-mcp": {
      "args": [
        "k8s-lens-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: KUBECONFIG (Path to kubeconfig file (defaults to ~/.kube/config)), OTEL_EXPORTER_OTLP_ENDPOINT (OpenTelemetry OTLP endpoint for tracing (optional)). The author declared them in the registry entry; get the values from the project itself.

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K8s Lens — questions

Answers built from our own checks of this server.

Why is there no uptime for K8s Lens?

K8s Lens runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package k8s-lens-mcp was installed 50 times last week.

Is K8s Lens still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect K8s Lens?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls k8s-lens-mcp straight from pypi; nothing to host, nothing to sign up for.

How many people use K8s Lens?

The pypi package k8s-lens-mcp was installed 50 times in the last week. Week over week that is +25%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.