MCP server
by simonamie
Securely control Windows command-line interfaces with Windows CLI. Supports mobaxterm, dism commands, cmd command, and m
Execute commands on Windows systems through PowerShell, CMD, or Git Bash, plus manage SSH connections to remote servers. Note: This project is deprecated and no longer maintained.
Windows CLI is a community-built MCP server published by simonamie that provides AI assistants with tools and capabilities via the Model Context Protocol. Securely control Windows command-line interfaces with Windows CLI. Supports mobaxterm, dism commands, cmd command, and m It is categorized under developer tools. This server exposes 9 tools that AI clients can invoke during conversations and coding sessions.
You can install Windows CLI 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.
MIT
Windows CLI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Windows CLI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Windows CLI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Windows CLI against two servers with overlapping tools; this profile had the clearer scope statement.
Windows CLI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Windows CLI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Windows CLI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Windows CLI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Windows CLI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Windows CLI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Windows CLI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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Securely control Windows command-line interfaces with Windows CLI. Supports mobaxterm, dism commands, cmd command, and m
TL;DR: Execute commands on Windows systems through PowerShell, CMD, or Git Bash, plus manage SSH connections to remote servers. Note: This project is deprecated and no longer maintained.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
