MKP is a Model Context Protocol (MCP) server specifically designed for Kubernetes, providing tools for interacting with Kubernetes clusters and supporting resource query and application operations.
2.5 points
5.4K

What is MKP?

MKP is a Model Context Protocol (MCP) server specifically designed for Kubernetes. It allows large language model (LLM) applications to interact with Kubernetes clusters through a standard protocol, performing operations such as viewing resources, retrieving logs, and applying configurations.

How to use MKP?

MKP can be accessed via a simple REST API or the MCP protocol. You need to configure Kubernetes access permissions, and then you can manage cluster resources by sending requests in JSON format.

Use cases

MKP is particularly suitable for scenarios where Kubernetes management needs to be integrated into AI workflows, such as automated operations, intelligent monitoring, and natural language-based cluster management.

Main Features

Resource List
List all supported resource types in the Kubernetes cluster, including custom resources (CRD).
Get Resources
Get detailed information about specific resources, including sub - resources such as status, extended information, and logs.
Apply Resources
Create or update Kubernetes resources, supporting cluster - scoped and namespace - scoped resources.
Universal Resource Support
Support all Kubernetes resource types through an unstructured client without the need for specific handlers.
Advantages
Natively implemented in Go, perfectly integrated with Kubernetes
Directly use the Kubernetes API without relying on external tools such as kubectl
Support all Kubernetes resource types, including custom resources
Lightweight design, easy to extend and maintain
Production - ready architecture with comprehensive error handling
Limitations
Requires access permissions to the Kubernetes cluster
Read - only mode by default, write operations need to be explicitly enabled
In large clusters, resource discovery may consume more memory

How to Use

Install MKP
Clone the repository and install dependencies
Build the server
Compile the MKP server
Run the server
Start the server with the default kubeconfig
Configure access permissions
Ensure that your kubeconfig file is correctly configured with cluster access permissions

Usage Examples

Get Deployment status
Check the status of the nginx - deployment in the default namespace
View Pod logs
Get the logs of a specific container in the past hour
Create Deployment
Create an nginx Deployment in the default namespace

Frequently Asked Questions

What permissions does MKP need to run?
How to restrict MKP access to specific namespaces?
Which versions of Kubernetes does MKP support?
How to improve the performance of MKP?
What's the difference between MKP and kubectl?

Related Resources

GitHub Repository
Source code and issue tracking for MKP
Kubernetes Documentation
Official Kubernetes documentation
Model Context Protocol
MCP protocol and ToolHive implementation

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
7.0K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.4K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
7.4K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.6K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.2K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
9.8K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.0K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
55.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.7K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
23.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
52.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.4K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
36.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase