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K8s MCP Server
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K8s MCP Server

The Kubernetes MCP Server is a server based on the Model Context Protocol. It provides seamless integration with the Kubernetes API, supports interacting with Kubernetes clusters through natural language, and realizes functions such as resource query, monitoring, and operation.
Developer toolsCloud platform#Kubernetes#AI integration#Cluster management#Protocol service.Go
2 points
25

What is the Kubernetes MCP Server?

The Kubernetes MCP Server is an intelligent server based on the Model Context Protocol (MCP). It allows developers, operators, and AI tools to interact with Kubernetes clusters through natural language. The server converts complex kubectl commands into simple natural language operations, significantly reducing the learning and usage threshold of Kubernetes.

How to use the Kubernetes MCP Server?

Simply install the server and configure the connection with the AI tool. You can then use natural language to query the cluster status and manage resources through the chat interface or command - line tool. The server supports multiple integration methods, including popular tools such as Claude Desktop, VS Code, and Cline.

Use cases

It is particularly suitable for development and operation teams that need to interact with Kubernetes frequently, organizations that want to simplify the Kubernetes operation process, and developers who build AI - assisted tools based on Kubernetes.

Main features

Resource querySupports querying the status and detailed information of various Kubernetes resources such as pods, deployments, and services
Log accessDirectly obtain the container logs of pods, supporting specifying the number of lines and containers
Management operationsPerform management operations such as deleting pods and scaling deployments (write permissions need to be enabled)
Multi - transport protocol supportSupports two communication protocols, stdio and SSE, to adapt to different integration scenarios

Advantages and limitations

Advantages
Natural language interaction reduces the threshold of using Kubernetes
Flexible integration methods support multiple development tools
Fine - grained permission control ensures cluster security
Rich resource operation APIs cover common use cases
Limitations
Complex queries may not be as accurate as using kubectl directly
Write operations need to be explicitly enabled, and it is read - only by default
Support for custom resources (CRD) is limited

How to use

Install the server
Install the server by compiling from source code or directly downloading the pre - compiled binary file
Configure kubeconfig
Ensure that the server can access your Kubernetes cluster and configure the correct kubeconfig file path
Integrate into tools
Add the corresponding server configuration according to the tool you use (Claude Desktop, VS Code, or Cline)
Start using
Use natural language to interact with your Kubernetes cluster in the integrated tool

Usage examples

TroubleshootingQuickly view the logs of a problematic pod to troubleshoot
Resource monitoringRegularly check the running status of key deployments
Emergency repairQuickly delete a problematic pod to trigger reconstruction

Frequently Asked Questions

How to enable write operation permissions?
Which Kubernetes resource types are supported?
How to restrict the server to access a specific namespace?
Does it support multi - cluster management?

Related resources

Model Context Protocol official website
Understand the detailed specifications and design concepts of the MCP protocol
Kubernetes official documentation
Kubernetes core concepts and API reference
GitHub repository
Project source code and issue tracking
Demo video
A demonstration of the actual use of the Kubernetes MCP Server
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "kubernetes": {
      "command": "path/to/k8smcp",
      "args": [
        "stdio",
        "--kubeconfig=/path/to/your/kubeconfig"
      ]
    }
  }
}

{
  "mcpServers": {
    "kubernetes": {
      "disabled": false,
      "timeout": 60,
      "command": "path/to/k8smcp",
      "args": [
        "stdio",
        "--read-only=false"
        "--kubeconfig=/path/to/your/kubeconfig"
      ],
      "env": {
        "K8S_MCP_TOOLSETS": "all"
      },
      "transportType": "stdio"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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