MKP - Model Kontext Protocol Server for Kubernetes

MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol.

Features

• List resources supported by the Kubernetes API server
• List clustered resources
• List namespaced resources
• Get resources and their subresources (including status, scale, logs, etc.)
• Apply (create or update) clustered resources
• Apply (create or update) namespaced resources
• Execute commands in pods with timeout control
• Generic and pluggable implementation using API Machinery's unstructured client
• Built-in rate limiting for protection against excessive API calls

Why MKP?

MKP offers several key advantages as a Model Context Protocol server for Kubernetes:

Native Go Implementation

• Built with the same language as Kubernetes itself
• Excellent performance characteristics for server applications
• Strong type safety and concurrency support
• Seamless integration with Kubernetes libraries

Direct API Integration

• Uses Kubernetes API machinery directly without external dependencies
• No reliance on kubectl, helm, or other CLI tools
• Communicates directly with the Kubernetes API server
• Reduced overhead and improved reliability

Universal Resource Support

• Works with any Kubernetes resource type through the unstructured client
• No hardcoded resource schemas or specialized handlers needed
• Automatically supports Custom Resource Definitions (CRDs)
• Future-proof for new Kubernetes resources

Minimalist Design

• Focused on core Kubernetes resource operations
• Clean, maintainable codebase with clear separation of concerns
• Lightweight with minimal dependencies
• Easy to understand, extend, and contribute to

Production-Ready Architecture

• Designed for reliability and performance in production environments
• Proper error handling and resource management
• Built-in rate limiting to protect against excessive API calls
• Testable design with comprehensive unit tests
• Follows Kubernetes development best practices

Prerequisites

• Go 1.24 or later
• Kubernetes cluster and kubeconfig
• Task for running tasks

Installation

1. Clone the repository:

   git clone https://github.com/StacklokLabs/mkp.git
   cd mkp
   

2. Install dependencies:

   task install
   

3. Build the server:

   task build
   

Usage

Running the server

To run the server with the default kubeconfig:

task run

To run the server with a specific kubeconfig:

KUBECONFIG=/path/to/kubeconfig task run-with-kubeconfig

To run the server on a specific port:

MCP_PORT=9091 task run

Running with ToolHive

MKP can be run as a Model Context Protocol (MCP) server using ToolHive, which simplifies the deployment and management of MCP servers.

See the ToolHive documentation for detailed instructions on how to set up MKP with the ToolHive UI, CLI, or Kubernetes operator.

MCP Tools

The MKP server provides the following MCP tools:

get_resource

Get a Kubernetes resource or its subresource.

Parameters:

• resource_type (required): Type of resource to get (clustered or namespaced)
• group: API group (e.g., apps, networking.k8s.io)
• version (required): API version (e.g., v1, v1beta1)
• resource (required): Resource name (e.g., deployments, services)
• namespace: Namespace (required for namespaced resources)
• name (required): Name of the resource to get
• subresource: Subresource to get (e.g., status, scale, logs)
• parameters: Optional parameters for the request (see examples below)

Example:

{
  "name": "get_r

... [View full README on GitHub](https://github.com/StacklokLabs/mkp#readme)