CMD Executor

CMD Executor

phialsbasement

Executes command-line operations and SSH connections on Windows and Linux systems through a standardized MCP interface. Allows AI assistants to run terminal commands and manage remote servers.

Cross-platform MCP server for executing command-line operations and SSH connections on Windows and Linux systems through a standardized interface.

23167 views14Local (stdio)

What it does

  • Execute CMD commands on Windows and Linux
  • Establish SSH connections to remote servers
  • Run terminal operations through MCP protocol
  • Manage cross-platform command execution
  • Interface with system administration tasks

Best for

System administrators managing serversDevelopers automating deployment scriptsDevOps teams running remote operationsIT professionals performing system maintenance
Cross-platform Windows and Linux supportSSH connectivity included

About CMD Executor

CMD Executor is a community-built MCP server published by phialsbasement that provides AI assistants with tools and capabilities via the Model Context Protocol. CMD Executor: Cross-platform MCP server to run command-line operations and SSH on Windows and Linux through a standardiz It is categorized under developer tools.

How to install

You can install CMD Executor in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

CMD Executor is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

CMD MCP Server

smithery badge npm downloads A Model Context Protocol (MCP) server implementation for executing CMD commands on both Windows and Linux, as well as allowing SSH connections. This server allows you to integrate command-line operations with MCP-compatible applications.

cmd-mcp-server MCP server

Features

  • Execute CMD commands through MCP
  • TypeScript implementation
  • Built on the official MCP SDK
  • Cross-platform compatibility

Installation

Installing via Smithery

To install CMD Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install server-cmd --client claude

Manual Installation

npm install server-cmd

Prerequisites

  • Node.js (v16 or higher recommended)
  • npm or yarn package manager

Usage

import { MCPCmdServer } from 'server-cmd';

// Initialize the server
const server = new MCPCmdServer();

// Start the server
server.start();

Configuration

The server can be configured through environment variables or a configuration object:

const config = {
  // Add your configuration options here
};

const server = new MCPCmdServer(config);

Development

To set up the development environment:

  1. Clone the repository:
git clone https://github.com/PhialsBasement/CMD-MCP-Server.git
cd CMD-MCP-Server
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Scripts

  • npm run build - Compile TypeScript to JavaScript
  • npm run prepare - Prepare the package for publishing

Dependencies

  • @modelcontextprotocol/sdk: ^1.0.1
  • glob: ^10.3.10
  • zod-to-json-schema: ^3.23.5

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Security

Please note that executing command-line operations can be potentially dangerous. Make sure to implement proper security measures and input validation when using this server in production environments.

Support

For issues and feature requests, please use the GitHub issue tracker.

Alternatives

Related Skills

Browse all skills
ui-design-system

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

18
ai-sdk

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

6
api-documenter

Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.

4
openai-knowledge

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

4
cli-builder

Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.

3
ydc-ai-sdk-integration

Integrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.

2