Kube MCP
kube-mcp is a Kubernetes management tool that provides cluster resource viewing functionality
2.5 points
10.6K

What is Kube-MCP?

Kube-MCP is an MCP (Model Context Protocol) server based on Kubernetes, aiming to simplify cluster management and resource operations. It allows users to easily list and manage key resources in Kubernetes.

How to use Kube-MCP?

After installing the tool, you can perform a series of resource management tasks via the command line, such as listing Pods, Deployments, and Services.

Use Cases

Kube-MCP is especially suitable for operations personnel or development teams who need to quickly view and manage Kubernetes resources.

Main Features

List Pods in the namespace
Provide a list of all Pods in the current namespace.
List Deployments in the namespace
Display all Deployment objects in the specified namespace.
List Ingresses in the namespace
Show all Ingress resources in the namespace.
List all namespaces in the cluster
Return a list of all namespaces in the entire cluster.
List StatefulSets in the namespace
Get the StatefulSet resources in the namespace.
Advantages
Easy to use, can operate Kubernetes resources without complex configuration.
Supports multiple resource types to meet multi-scenario requirements.
Lightweight design with high operating efficiency.
Limitations
Currently only supports common Kubernetes resource types.
May need to optimize performance for large-scale clusters.

How to Use

Install Kube-MCP
Install Kube-MCP using the Go toolchain.
Configure environment variables
Set the KUBECONFIG environment variable to point to your Kubernetes configuration file.
Run commands
Use commands like k8s_list_pods or other commands to operate on Kubernetes resources.

Usage Examples

List Pods in the default namespace
Demonstrate how to view all Pods in the default namespace.
List all namespaces in the cluster
Show how to get all namespaces in the entire cluster.

Frequently Asked Questions

How to install Kube-MCP?
Does it support all Kubernetes resource types?
How to set KUBECONFIG?

Related Resources

Official Documentation
Visit the project repository for more information.
Installation Guide
Detailed installation and configuration instructions.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "kube-mcp": {
      "command": "kubemcp",
      "args": [],
      "env": {
        "KUBECONFIG": "~/.kube/.kubeconfig"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
8.8K
4 points
P
Paperbanana
Python
9.0K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.0K
5 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
38.2K
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
24.9K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.5K
4.3 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
27.5K
4.3 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
70.8K
4.5 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#
37.5K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
106.4K
4.7 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
55.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase