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MCP-Server VBox

MCP server for enabling AI use local k8s resources

#mcp-server#kubernetes
Created by Wan-Hao2025/03/28
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What is MCP-Server VBox?

What is MCP-Server VBox? MCP-Server VBox is a server implementation based on the Model Context Protocol (MCP) designed to manage and operate Docker containers and Kubernetes clusters. It provides a unified interface for executing container and Pod-related operations conveniently through Claude Desktop. How to use MCP-Server VBox? To use MCP-Server VBox, install the necessary dependencies, build the project, and configure Claude Desktop with the appropriate settings. You can then execute commands in both local and Pod environments. Key features of MCP-Server VBox? Docker operations: list containers, pull images, create new containers. Kubernetes operations: list Pods in a namespace, create Deployments, execute commands in Pods, and access interactive shells. Execution environment management: manage local and Pod execution contexts with real-time command execution and output. Use cases of MCP-Server VBox? Managing Docker containers and images. Deploying and managing applications in Kubernetes clusters. Executing commands in Pods for troubleshooting and management. FAQ from MCP-Server VBox? What are the system requirements for MCP-Server VBox? Node.js >= 14.0.0, Docker, and a configured Kubernetes cluster are required. How do I install MCP-Server VBox? Install dependencies using npm install, build the project with npm run build, and configure Claude Desktop as per the instructions. Is there a license for MCP-Server VBox? Yes, it is released under the MIT License.

As an MCP (Model Context Protocol) server, MCP-Server VBox enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP-Server VBox

To use MCP-Server VBox, install the necessary dependencies, build the project, and configure Claude Desktop with the appropriate settings. You can then execute commands in both local and Pod environments. Key features of MCP-Server VBox? Docker operations: list containers, pull images, create new containers. Kubernetes operations: list Pods in a namespace, create Deployments, execute commands in Pods, and access interactive shells. Execution environment management: manage local and Pod execution contexts with real-time command execution and output. Use cases of MCP-Server VBox? Managing Docker containers and images. Deploying and managing applications in Kubernetes clusters. Executing commands in Pods for troubleshooting and management. FAQ from MCP-Server VBox? What are the system requirements for MCP-Server VBox? Node.js >= 14.0.0, Docker, and a configured Kubernetes cluster are required. How do I install MCP-Server VBox? Install dependencies using npm install, build the project with npm run build, and configure Claude Desktop as per the instructions. Is there a license for MCP-Server VBox? Yes, it is released under the MIT License.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP-Server VBox can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP-Server VBox provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.