Kubernetes

by lochgeo

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About

Integrates with Kubernetes clusters to enable direct pod, deployment, and service management operations through specialized FastMCP tools, eliminating the need to switch between AI conversations and command-line interfaces for DevOps workflows.

Details

Author: lochgeo
Repository: lochgeo/kube-mcp
GitHub stars: 1
License: MIT License
Categories: Productivity, Developer Tools, Design, AI, Media, Infrastructure, Frontend

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Kubernetes

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 @highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

From the repository

Goose is an open source AI agent that supercharges your software development by automating coding tasks. We will use Codename Goose as it has a built in MCP client. Install Codename Goose by following the steps here https://block.github.io/goose/docs/getting-started/installation. Setup GOOGLE_API_KEY environment variable so that Goose knows to use Gemini API. Understand how to configure using goose configure and start as session using goose session.

Install minikube by following isntructions : https://minikube.sigs.k8s.io/docs/start/?arch=%2Flinux%2Fx86-64%2Fstable%2Fbinary+download
Ensure that the config to the cluster is provided to the MCP server. Look at the KubernetesManager and config.load_kube_config() to understand how the config is loaded.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "kubernetes": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "cmd"
}

kube-mcp

Get a Gemini APi Key

Goto https://aistudio.google.com/ and get yourself an API Key. Currently, gemini-2.0-pro-exp-02-05 LLM is available absolutely free of charge. Other models available for very cheap price also.

Install Codename Goose

Develop MCP Server

Read about MCP by reading the documentation : https://modelcontextprotocol.io/introduction and specifically the Python SDK : https://github.com/modelcontextprotocol/python-sdk Clone this repository and test it using mcp dev server.py. Note that this project uses uv package manager instead of pip. Learn about uv by reading docs : https://github.com/astral-sh/uv This project uses the kubernetes python client: https://github.com/kubernetes-client/python

Install Minikube

Install minikube by following isntructions : https://minikube.sigs.k8s.io/docs/start/?arch=%2Flinux%2Fx86-64%2Fstable%2Fbinary+download Ensure that the config to the cluster is provided to the MCP server. Look at the KubernetesManager and config.load_kube_config() to understand how the config is loaded.

Connect your MCP server to Codename Goose

Add the MCP Server as an extension by reading the following docs : https://block.github.io/goose/docs/getting-started/using-extensions Start a new goose session using command goose session --with-builtin developer --with-extension "uvx kube-mcp"

Make it all work

Try giving a command in Goose and make it interact with Minikube using the MCP Server

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

kube-mcp

Get a Gemini APi Key

Install Codename Goose

Develop MCP Server

Install Minikube

Connect your MCP server to Codename Goose

Make it all work

Install

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