Securely control Windows command-line interfaces with Windows CLI. Supports mobaxterm, dism commands, cmd command, and m
by simonamie·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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Linear
MCP server for Linear — enables Claude to interact with Linear data and workflows.
Claude Context
Claude Context offers semantic code search and indexing with vector embeddings and AST-based code splitting. Natural lan
Screenshot Capture
Capture screenshots across macOS, Windows, and Linux using advanced screen capture and recording software for analysis,
Specif-ai
Specif-ai ensures secure web API access and robust error handling, making it a top choice among API security companies f
Chrome DevTools MCP
AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network mo
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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Claude Desktop configuration
{
"mcpServers": {
"windows-cli": {
"command": "npx",
"args": [
"-y",
"@simonb97/server-win-cli"
]
}
}
}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.
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.
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.
XcodeBuild MCP
By Sentry. MCP server and CLI that provides tools for AI agents working on iOS and macOS Xcode projects. Build, test, li