mcp-k8s-eye
mcp-k8s-eye is a comprehensive MCP designed for Kubernetes cluster management, diagnostics, and resource oversight, supporting native and custom resources. It facilitates connection, management, and troubleshooting of Kubernetes components, providing detailed insights into workloads, deployments, services, and nodes for effective cluster health monitoring.
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Created by:
Apr 28 2025
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What is mcp-k8s-eye?
mcp-k8s-eye is a specialized MCP tool for Kubernetes, enabling users to manage clusters efficiently and diagnose issues comprehensively. It supports core functionalities such as connecting to clusters, managing various resource types including Pods, Deployments, and CustomResourceDefinitions. The tool offers in-depth diagnostics for pods, services, deployments, nodes, and network components, helping identify and resolve cluster issues quickly. Monitoring features provide insights into resource utilization across CPUs, memory, and nodes. Its advanced capabilities include support for multiple transport protocols and multi-client configurations, making it suitable for enterprise Kubernetes environments seeking robust cluster oversight and troubleshooting.
Who will use mcp-k8s-eye?
- Kubernetes administrators
- DevOps engineers
- Cluster managers
- Cloud platform operators
How to use the mcp-k8s-eye?
- Step1: Clone the repository from GitHub
- Step2: Build the binary using Go
- Step3: Configure connection to your Kubernetes cluster
- Step4: Use the provided commands to manage and diagnose resources
- Step5: Monitor cluster health and resource utilization through diagnostics and monitoring features
mcp-k8s-eye's Core Features & Benefits
The Core Features
- Connect to Kubernetes clusters
- Manage native and custom resources
- Perform resource operations: list, get, create, update, delete
- Pod diagnostics: analyze status and logs
- Service, deployment, statefulset diagnostics
- Monitor resource usage (CPU, memory)
- Diagnose nodes and network policies
- Support multiple transport protocols (Stdio, SSE)
The Benefits
- Real-time cluster management and diagnostics
- Comprehensive resource oversight
- Enhanced troubleshooting capabilities
- Supports extensive Kubernetes features
- Suitable for enterprise-level cluster management
mcp-k8s-eye's Main Use Cases & Applications
- Kubernetes cluster health monitoring
- Troubleshooting pod and service issues
- Resource usage analysis for capacity planning
- Custom resource management and diagnostics
- Automated cluster diagnostics