MCP-Server VBox: Enterprise AI Performance & Control

MCP-Server VBox empowers AI workloads to harness local Kubernetes resources, streamlining enterprise deployments with unmatched performance and control." )

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About MCP-Server VBox

What is MCP-Server VBox: Enterprise AI Performance & Control?

MCP-Server VBox is a versatile management tool built on the Model Context Protocol (MCP), designed to streamline Docker and Kubernetes operations within the Claude Desktop ecosystem. It acts as a bridge between developers and cloud-native infrastructure, enabling centralized control over containerized applications and cluster resources. Whether you're deploying models, debugging containers, or managing AI workflows, this tool provides a unified interface to handle everything from basic Docker commands to advanced Kubernetes deployments.

How to use MCP-Server VBox: Enterprise AI Performance & Control?

Getting started involves three core steps: install Node.js dependencies, build the project locally, and configure Claude Desktop with your server path. Once integrated, users can trigger actions like pulling images, launching containers, or executing commands inside live Pods directly from the desktop interface. For deeper troubleshooting, debug mode and real-time logging allow you to trace execution flows and resolve issues on the fly.

MCP-Server VBox Features

Key Features of MCP-Server VBox: Enterprise AI Performance & Control?

Hybrid Environment Control: Seamlessly switch between managing Docker containers and Kubernetes deployments using the same interface.
Interactive Shell Access: Drop into a live Pod's terminal to inspect processes or troubleshoot model deployments instantly.
Context-Aware Execution: Maintain persistent execution contexts for complex workflows, whether working locally or within a cluster node.
Real-Time Feedback: View command outputs immediately, critical for monitoring AI training jobs or scaling model inference services.

Use cases of MCP-Server VBox: Enterprise AI Performance & Control?

Teams use this tool to:

Deploy machine learning models across hybrid cloud environments with consistent workflows
Debug failing inference containers by executing diagnostic commands in real-time
Automate CI/CD pipelines for AI projects requiring Docker-Kubernetes handoffs
Manage multi-tenant Kubernetes namespaces while maintaining strict access controls

MCP-Server VBox FAQ

FAQ from MCP-Server VBox: Enterprise AI Performance & Control?

Why does my Docker command fail?: Ensure Docker is running as a service and the user account has proper permissions. Check /var/log/docker.log for detailed errors.
How do I switch Kubernetes namespaces?: Use the k8s_list_pods command with the --namespace flag to target specific environments.
Can I use this without Claude Desktop?: Currently requires the Claude Desktop platform for MCP protocol communication. Standalone CLI support is planned for v2.0.
Where are execution logs stored?: Main logs at ~/Library/Logs/Claude/mcp-server-vbox.log. Debug sessions write to ~/Library/Logs/Claude/mcp.log.

Content

MCP-Server VBox

MCP-Server VBox 是一个基于 Model Context Protocol (MCP) 的服务器实现，用于管理和操作 Docker 容器和 Kubernetes 集群。该工具提供了一个统一的接口，让您可以通过 Claude Desktop 方便地执行容器和 Pod 相关的操作。

功能特点

Docker 操作

列出所有容器（docker_list_containers）
拉取 Docker 镜像（docker_pull_image）
创建新容器（docker_create_container）

Kubernetes 操作

列出指定命名空间的 Pod（k8s_list_pods）
创建 Deployment（k8s_create_deployment）
在 Pod 中执行命令（k8s_exec_pod）
进入 Pod 的交互式 shell（k8s_enter_pod）
退出 Pod 的执行环境（k8s_exit_pod）

执行环境管理

获取当前执行环境（get_execution_context）
在当前环境执行命令（execute_command）
支持本地和 Pod 两种执行环境
实时命令执行和输出

系统要求

Node.js >= 14.0.0
Docker
Kubernetes 集群配置（~/.kube/config）
Claude Desktop

安装和配置

安装依赖

npm install

构建项目

npm run build

配置 Claude Desktop

在 ~/Library/Application Support/Claude/claude_desktop_config.json 中添加以下配置：

{
    "mcpServers": {
        "vbox": {
            "command": "node",
            "args": [
                "/path/to/your/vbox/build/index.js"
            ]
        }
    }
}

注意：请将 /path/to/your/vbox 替换为实际的项目路径。

调试

如果需要调试，可以在 Claude Desktop 配置中添加调试选项：

{
    "mcpServers": {
        "vbox": {
            "command": "node",
            "args": [
                "--inspect",
                "/path/to/your/vbox/build/index.js"
            ],
            "debug": true
        }
    }
}

日志文件位置：

MCP 服务器日志：~/Library/Logs/Claude/mcp-server-vbox.log
Claude Desktop 日志：~/Library/Logs/Claude/mcp.log

注意事项

确保 Docker 守护进程正在运行
确保有正确的 Kubernetes 配置文件（默认位置：~/.kube/config）
确保有适当的集群访问权限
在使用 Pod 相关功能时，确保指定正确的命名空间和 Pod 名称

许可证

MIT License

作者

[Your Name]

更新日志

1.0.0

初始版本发布
实现基本的 Docker 和 Kubernetes 操作功能
添加交互式 shell 支持