Kubernetes MCP Server

by endo-sys

241 downloads Not rated yet MIT license

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# Kubernetes MCP Server This is a Model Context Protocol (MCP) server that provides comprehensive Kubernetes functionality through the MCP Python SDK. It allows you to interact with your Kubernetes cluster using natural language through an MCP client. ## Features The server provides a wide range of Kubernetes…

Details

License: MIT license

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The server provides a wide range of Kubernetes operations organized into logical modules:

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 MCP Server

Command (node, npx, python, etc.)

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

JSON

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

JSON

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

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

JSON

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

JSON

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

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

JSON

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

JSON

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

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

JSON

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

JSON

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

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

JSON

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

JSON

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

From the repository

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

- Get deployments with filtering and output format options
- Describe specific deployments
- Scale deployments
- Manage deployment rollouts (status, history, restart, undo)
- Get deployment metrics

1. Development mode with MCP Inspector:
``bash python -m mcp.inspector src/k8s_mcp_server.py`2. Install in Claude Desktop:`bash python -m mcp.install src/k8s_mcp_server.py`3. Run directly:`bash python src/k8s_mcp_server.py``

Once connected through an MCP client, you can use natural language to interact with your Kubernetes cluster. For example:

- "Get all pods in the default namespace"
- "Describe the deployment named 'nginx' in the 'web' namespace"
- "Get logs from the 'frontend' pod in the 'production' namespace"
- "Scale the 'backend' deployment to 3 replicas"
- "Create a new namespace called 'staging' with label environment=staging"

Claude Desktop / Cursor

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

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

McpServers

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

This is a Model Context Protocol (MCP) server that provides comprehensive Kubernetes functionality through the MCP Python SDK. It allows you to interact with your Kubernetes cluster using natural language through an MCP client.

Features

The server provides a wide range of Kubernetes operations organized into logical modules:

Pod Operations

- Get pods with filtering and output format options - Describe specific pods - Get pod logs with various options - Execute commands in pods - Get pod metrics

Deployment Operations

- Get deployments with filtering and output format options - Describe specific deployments - Scale deployments - Manage deployment rollouts (status, history, restart, undo) - Get deployment metrics

Service Operations

- Get services with filtering and output format options - Describe specific services - Expose deployments as services - Port forward to services

Namespace Operations

- Get namespaces with filtering - Describe specific namespaces - Create and delete namespaces - Get namespace resource quotas

Cluster Operations

- Get cluster information - Get and describe nodes - Manage node scheduling (cordon/uncordon) - Drain nodes for maintenance - Get cluster metrics

Prerequisites

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

Installation

1. Clone this repository 2. Install dependencies: ``

bash
   pip install -r requirements.txt



Usage


Running the Server


1. Development mode with MCP Inspector:

bash
   python -m mcp.inspector src/k8s_mcp_server.py



2. Install in Claude Desktop:

bash
   python -m mcp.install src/k8s_mcp_server.py



3. Run directly:

bash
   python src/k8s_mcp_server.py



Using the Tools


Once connected through an MCP client, you can use natural language to interact with your Kubernetes cluster. For example:

- "Get all pods in the default namespace"
- "Describe the deployment named 'nginx' in the 'web' namespace"
- "Get logs from the 'frontend' pod in the 'production' namespace"
- "Scale the 'backend' deployment to 3 replicas"
- "Create a new namespace called 'staging' with label environment=staging"

Project Structure


src/
├── k8s_mcp_server.py      # Main server entry point
├── k8s_tools/            # Tool modules
│   ├── __init__.py
│   ├── pod_tools.py      # Pod-related tools
│   ├── deployment_tools.py # Deployment-related tools
│   ├── service_tools.py  # Service-related tools
│   ├── namespace_tools.py # Namespace-related tools
│   └── cluster_tools.py  # Cluster-related tools
└── requirements.txt      # Project dependencies

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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About

Details

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Features

Pod Operations

Deployment Operations

Service Operations

Namespace Operations

Cluster Operations

Prerequisites

Installation

Usage

Running the Server

Using the Tools

Project Structure

Contributing

License

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