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MCP-K8S-EYE
MCP -Server für Kubernetes -Management und Analyse des Arbeitsloadstatus
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mcp-k8s-eye
mcp-k8s-eye is a tool that can manage kubernetes cluster and analyze workload status.
Requirements
- Go 1.23 or higher
- kubectl configured
Installation
# clone the repository
git clone https://github.com/wenhuwang/mcp-k8s-eye.git
cd mcp-k8s-eye
# build the binary
go build -o mcp-k8s-eye
Usage
{
"mcpServers": {
"kubernetes": {
"command": "YOUR mcp-k8s-eye PATH",
"env": {
"HOME": "USER HOME DIR"
},
}
}
}
env.HOME
is used to set the HOME directory for kubeconfig file.
cursor tools
Features
- Connect to a Kubernetes cluster
- Generic Kubernetes Resources management capabilities (list, get, delete)
- Pod management capabilities (exec, logs)
- Deployment management capabilities (scale)
- Analyze pods
- Analyze services
- Analyze deployments
- Analyze statefulsets
- Analyze daemonsets
- Analyze ingress
- Analyze nodes
- Analyze cluster
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Reviews

user_LmhMGOzM
I recently had the pleasure of using Aliyun MCP Server by nailuoGG, accessible at https://mcp.so/server/aliyun-mcp-server/nailuoGG. The performance and reliability of this service are truly impressive. The intuitive interface and robust features cater perfectly to my needs, making server management a breeze. Highly recommended for anyone looking for a powerful and user-friendly solution.