K8s MCP Server
K8s MCP Server is a Docker-based Model Context Protocol (MCP) server that bridges language models and Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd for cluster management, troubleshooting, and deployment automation.
Added on:
Created by:
Apr 22 2025
K8s MCP Server is a Docker-based Model Context Protocol (MCP) server that bridges language models and Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd for cluster management, troubleshooting, and deployment automation.
Added on:
Created by:
Apr 22 2025
Alexei Ledenev
Featured
What is K8s MCP Server?
K8s MCP Server is a secure, containerized Platform that allows AI assistants like Claude to execute Kubernetes commands reliably. It supports essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, facilitating complex cluster management, troubleshooting, and deployment tasks through natural language queries. The server supports multiple cloud providers like AWS EKS, Google GKE, and Azure AKS, and includes security features such as running as a non-root user and command validation. It simplifies integrating AI systems into Kubernetes workflows, enabling users to monitor, deploy, and troubleshoot clusters effortlessly via conversational AI, significantly enhancing automation and operational efficiency.
Who will use K8s MCP Server?
- Kubernetes administrators
- DevOps teams
- AI developers working with Kubernetes
- Cluster engineers
- Cloud platform engineers
How to use the K8s MCP Server?
- Step1: Install Docker and set up the MCP server following the provided documentation.
- Step2: Configure your Kubernetes environment and cloud provider credentials.
- Step3: Launch the MCP server container with appropriate environment variables for your setup.
- Step4: Connect your AI assistant or Claude Desktop to the MCP server URL.
- Step5: Use natural language commands to manage, troubleshoot, or deploy Kubernetes resources.
- Step6: Review command outputs and refine commands as needed for your operations.
K8s MCP Server's Core Features & Benefits
The Core Features
- Supports kubectl, helm, istioctl, and argocd CLI tools
- Supports multiple cloud providers like AWS EKS, GKE, AKS
- Runs in a secure, non-root container environment
- Supports Unix command piping with jq, grep, sed
- Configurable via environment variables
The Benefits
- Enables natural language interaction for Kubernetes management
- Enhances security with command validation and non-root execution
- Simplifies complex cluster operations and troubleshooting
- Integrates seamlessly with AI assistants like Claude
- Supports multi-cloud environments for flexible deployment
K8s MCP Server's Main Use Cases & Applications
- Automated deployment of applications and Helm charts via conversational AI
- Troubleshooting Kubernetes clusters by querying logs and resources
- Cluster management and resource scaling with natural language commands
- Integrating AI-powered workflows for DevOps automation
- Monitoring multi-cloud Kubernetes environments
FAQs of K8s MCP Server
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