M

MCP K8s Server

The MCP Kubernetes Server is a Python - based Kubernetes management server that provides functions for cluster information query, resource operation, status monitoring, and analysis, and supports accessing Kubernetes resources through the MCP protocol.
2.5 points
11

What is the MCP Kubernetes Server?

The MCP Kubernetes Server is an intelligent Kubernetes management tool that provides comprehensive management capabilities for Kubernetes clusters through the standardized Model Context Protocol. It helps users easily obtain cluster information, perform operations, monitor status, and analyze resources.

How to use the MCP Kubernetes Server?

You can use the MCP Kubernetes Server in multiple ways: run the Python program directly, deploy it using Docker containers, or deploy it to a Kubernetes cluster. After the server starts, it provides standardized MCP interfaces through which you can interact with the Kubernetes cluster.

Applicable scenarios

Suitable for operation and maintenance teams that need to centrally manage multiple Kubernetes clusters, developers who want to automate Kubernetes operation processes, and technical experts who need to conduct in - depth analysis of cluster status.

Main features

Cluster information queryGet detailed information about Kubernetes resources (Pods, Deployments, Services, etc.)
Cluster operationsPerform operations such as creation, update, deletion, and scaling on Kubernetes resources
MonitoringMonitor the status of Kubernetes clusters and resources
AnalysisAnalyze Kubernetes resources and provide optimization suggestions

Advantages and limitations

Advantages
Unified MCP protocol interface, easy to integrate
Supports multiple deployment methods (local, Docker, Kubernetes)
Provides rich cluster analysis and monitoring functions
Built - in common Kubernetes operation prompts
Limitations
Requires a Python 3.12+ environment
Requires high Kubernetes RBAC permissions
Some advanced functions require cluster monitoring component support

How to use

Installation
Install via pip or build from source code
Configuration
Configure Kubernetes access permissions, which can be done through a kubeconfig file or using in - cluster configuration
Start the server
Run the server and select the transport protocol (SSE or STDIO)
Connect the client
Connect to the server using a client that supports the MCP protocol

Usage examples

Get cluster node informationQuery the status and resource usage of all nodes in the cluster
Check Pod anomaliesAnalyze Pods with abnormal statuses in the specified namespace
Deployment scalingAdjust the number of replicas of a Deployment

Frequently Asked Questions

How to solve the problem of insufficient permissions?
Which Kubernetes versions are supported?
How to get the historical change records of resources?

Related resources

GitHub Repository
Project source code and the latest version
Kubernetes Official Documentation
Kubernetes official documentation and API reference
Model Context Protocol Specification
Official specification document of the MCP protocol
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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