K

Kubernetes Monitoring

A read - only MCP service for Kubernetes clusters based on Python, providing comprehensive APIs to retrieve cluster information and diagnose problems.
2.5 points
25

What is k8s - mcp?

k8s - mcp is a Model Context Protocol (MCP) server specifically designed for Kubernetes clusters. It allows users to obtain cluster status and diagnose problems through simple API queries without directly operating the kubectl command - line tool.

How to use k8s - mcp?

Ask questions about the cluster directly through AI assistants such as Claude, or query specific resource information through the API. The server will automatically connect to your Kubernetes cluster (local or cloud - based).

Applicable scenarios

Suitable for developers and operations personnel who need to quickly understand the status of Kubernetes clusters, diagnose problems, or obtain resource configurations, especially suitable for non - command - line users.

Main features

Cluster monitoringObtain cluster - level information such as node status and resource utilization in real - time
Pod inspectionView detailed information such as Pod status, restart times, and error reasons
Resource managementObtain the YAML configuration and status of resources such as deployments and services
Problem diagnosisAutomatically identify common problems such as CrashLoopBackOff and Pending states

Advantages and limitations

Advantages
No need to memorize complex kubectl commands
Provide an intuitive overview of the cluster status
Automatically diagnose common problems
Support natural language queries
Limitations
Read - only access, cannot modify the cluster status
Rely on AI assistants or API queries
Need to configure the Claude desktop application

How to use

Install dependencies
Ensure that Python 3.8+ and the uv tool are installed
Clone the repository
Get the k8s - mcp source code
Configure Claude
Add the MCP server configuration in the Claude desktop application

Usage examples

Check the cluster health statusQuickly understand the overall operating status of the cluster
Diagnose Pod problemsFind failed or abnormal Pods
Get resource configurationView the YAML configuration of specific resources

Frequently Asked Questions

What permissions are required to access the cluster?
Which Kubernetes versions are supported?
Can the cluster status be modified?

Related resources

Model Context Protocol official website
Official documentation of the MCP protocol
GitHub repository
Project source code
Example conversation
Example of Claude using k8s - mcp
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
        "k8s-mcp": {
            "command": "uv",
            "args": [
                "--directory",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/k8s-mcp",
                "run",
                "server.py"
            ]
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.
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