Windows-Command-Line-MCP-Server

MCP.Pizza Chef: alxspiker

The Windows Command Line MCP Server is a secure and efficient MCP server that bridges AI models like Claude with Windows command-line functionality. It enables controlled execution of system commands, project creation, and retrieval of system information while enforcing strict security measures such as command allowlisting and input validation. This server facilitates safe, real-time interaction between AI and Windows environments, empowering automated workflows and system management tasks.

Use This MCP server To

Execute Windows command-line operations via AI models Create and manage projects through command-line commands Retrieve system information securely for diagnostics Automate Windows system tasks with controlled command execution Integrate Windows CLI functionality into AI-enhanced workflows

README

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Windows Command Line MCP Server

A secure Model Context Protocol (MCP) server that enables AI models to interact with Windows command-line functionality safely and efficiently.

Version License: MIT smithery badge

Overview

The Windows Command Line MCP Server provides a robust, secure bridge between AI models and Windows system operations. It allows controlled execution of commands, project creation, and system information retrieval while maintaining strict security protocols.

Key Features

πŸ”’ Enhanced Security

  • Comprehensive command allowlist
  • Strict input validation
  • Prevention of destructive system operations
  • Configurable security levels

πŸ›  Development Tools Support

  • Project creation for React, Node.js, and Python
  • Safe development environment interactions
  • Expanded command support for development workflows

πŸ–₯ System Interaction Capabilities

  • Execute Windows CLI commands
  • Run PowerShell scripts
  • Retrieve system and network information
  • Manage processes and services

Installation

Installing via Smithery

To install Windows Command Line MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @alxspiker/Windows-Command-Line-MCP-Server --client claude

Prerequisites

  • Node.js 16 or later
  • npm or yarn
  • Windows operating system

Setup

git clone https://github.com/alxspiker/Windows-Command-Line-MCP-Server.git
cd Windows-Command-Line-MCP-Server
npm install
npm run build

Usage

Command Line Options

  • Default mode: Uses predefined safe commands
  • --allow-all: Run in extended mode (with additional precautions)
  • Custom command lists can be specified as arguments

Project Creation

Create new projects safely with the built-in project creation tool:

  • Supported project types: React, Node.js, Python
  • Projects created in a sandboxed ~/AIProjects directory

Available Tools

  1. execute_command: Run Windows CLI commands
  2. execute_powershell: Execute PowerShell scripts
  3. create_project: Safely create new development projects
  4. list_running_processes: Retrieve active system processes
  5. get_system_info: Collect system configuration details
  6. get_network_info: Retrieve network adapter information
  7. get_scheduled_tasks: List and query system tasks
  8. get_service_info: Manage and query Windows services
  9. list_allowed_commands: List all commands that can be executed by the server

Using with Claude for Desktop

To use this server with Claude for Desktop:

  1. Build the server using the setup instructions above
  2. Add it to your claude_desktop_config.json:
{
  "mcpServers": {
    "windows-cmd": {
      "command": "node",
      "args": ["/path/to/dist/index.js"]
    }
  }
}

Replace /path/to/dist/index.js with the absolute path to the built index.js file in the dist directory.

  1. Restart Claude for Desktop
  2. You can now use the tools by asking Claude to perform Windows system operations

Security Considerations

Allowed Commands

By default, only safe commands are permitted:

  • System information retrieval
  • Network configuration
  • Process management
  • Development tool interactions

Blocked Operations

Dangerous commands are always blocked, including:

  • Disk formatting
  • User management
  • System shutdown
  • Critical registry modifications

Configuration

Customize the server's behavior by specifying allowed commands or using configuration flags.

Example

# Run with default safe commands
node dist/index.js

# Run with specific allowed commands
node dist/index.js dir echo npm git

# Run in extended mode (use with caution)
node dist/index.js --allow-all

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

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

Acknowledgements

  • Inspired by the Model Context Protocol specification
  • Developed with security and flexibility in mind

Version History

  • 0.3.0: Implemented all tools mentioned in README (system info, network info, process management, service info)
  • 0.2.0: Added project creation, expanded development tools
  • 0.1.0: Initial release with basic command execution capabilities

Support

For issues, questions, or suggestions, please open an issue on GitHub.

Windows-Command-Line-MCP-Server FAQ

How does the Windows Command Line MCP Server ensure security?
It uses a comprehensive command allowlist and strict input validation to prevent unauthorized or harmful commands.
Can this server execute any Windows command?
No, it restricts execution to allowed commands defined in its security policies to maintain safety.
Which AI models can interact with this MCP server?
It supports models like Claude, OpenAI's GPT, and Anthropic's Claude, enabling broad compatibility.
Is the server suitable for automating system administration tasks?
Yes, it enables safe automation of Windows command-line tasks through AI-driven workflows.
How is the server deployed and accessed?
It runs as a lightweight MCP server on Windows, exposing command-line functionality via a secure API for AI clients.
Does it support real-time command execution feedback?
Yes, it provides immediate responses from the Windows command line to the AI model for interactive workflows.
What security measures protect against malicious input?
Besides allowlisting, it validates all inputs rigorously to prevent injection or harmful operations.
Can it be integrated with other MCP clients or tools?
Yes, it is designed to work within the MCP ecosystem, enabling integration with various AI clients and tools.