MCP Powershell Exec
A lightweight server for executing PowerShell scripts and returning results, supporting AI assistant integration
rating : 2.5 points
downloads : 40
What is MCP PowerShell Exec Server?
MCP PowerShell Exec Server is a lightweight tool that allows users to execute PowerShell scripts by inputting script strings and immediately obtain the execution results.How to use MCP PowerShell Exec Server?
Simply install the server and configure it according to the simple steps, then you can start using it to work with AI assistants.Applicable scenarios
Suitable for developers who need to quickly execute PowerShell scripts and want to integrate them into the existing development environment.Main features
Accept PowerShell scripts as inputSupports submitting PowerShell scripts in string form.
Return execution results in real-timeThe results will be quickly returned after the script is executed, which is convenient for debugging and verification.
Secure execution environmentRun scripts in a controlled MCP server environment to ensure security.
Advantages and limitations
Advantages
Easily integrate into the existing development toolchain.
Support multiple PowerShell versions with strong compatibility.
Provide real-time feedback to improve work efficiency.
Limitations
Require a certain foundation in Python and PowerShell.
Only run on specific operating systems (such as Windows).
How to use
Clone and set up the server
First, clone the code repository from GitHub and enter the project directory.
Configure the GitHub Copilot plugin
Open VSCode Insiders, install the GitHub Copilot extension and configure the MCP server.
Usage examples
Execute basic commandsDemonstrate how to use MCP PowerShell Exec Server to execute simple PowerShell commands.
Execute complex scriptsShow how to run more complex PowerShell scripts.
Frequently Asked Questions
Which operating systems does MCP PowerShell Exec Server support?
How to check my PowerShell version?
Related resources
GitHub repository
Visit the official GitHub repository for more details.
VSCode Insiders
Download the latest version of VSCode Insiders.
YouTube video tutorial
Watch the video to learn about the practical application of MCP PowerShell Exec Server.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points