Kubernetes MCP Server

@endo-sys

Repository

Basic information

About Kubernetes MCP Server

No overview available yet

#kubernetes #mcp-server #python-sdk

Kubernetes MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kubernecetes-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "mcp.inspector",
        "src/k8s_mcp_server.py"
      ]
    }
  }
}

Kubernetes MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Kubernetes MCP Server?

The Kubernetes MCP Server is a Model Context Protocol server that enables natural language interaction with a Kubernetes cluster through an MCP client. It provides comprehensive Kubernetes operations including pods, deployments, services, namespaces, and cluster management.

How to use Kubernetes MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, then run the server via MCP Inspector, install it in Claude Desktop, or execute directly. Once connected, issue natural language commands like “Get all pods in the default namespace” or “Scale the backend deployment to 3 replicas.”

Key features of Kubernetes MCP Server

Get, describe, and filter pods
Execute commands in pods
Get pod logs and metrics
Scale deployments and manage rollouts
Expose deployments as services
Port forward to services
Create and delete namespaces
Cordon, uncordon, and drain nodes

Use cases of Kubernetes MCP Server

Query pod status and logs in natural language
Scale deployments and manage rollout history
Create and manage namespaces interactively
Perform cluster maintenance like node draining

Frequently asked questions

What are the prerequisites?

Python 3.7+, kubectl installed and configured, access to a Kubernetes cluster, and an MCP client (e.g., Claude Desktop).

How do I install the server?

Clone the repository and run `pip install -r requirements.txt` to install dependencies.

How do I run the server?

Use `python -m mcp.inspector src/k8s_mcp_server.py` for development, `python -m mcp.install src/k8s_mcp_server.py` to install in Claude Desktop, or run `python src/k8s_mcp_server.py` directly.

What Kubernetes operations are supported?

Pod, deployment, service, namespace, and cluster operations including get, describe, scale, logs, exec, rollout management, and node scheduling.

Do I need additional authentication?

No; the server uses your existing kubectl configuration for cluster access.

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