Provides shell command execution capabilities on Linux systems, allowing access to system-level information and execution of arbitrary terminal commands.
Enables execution of shell commands on macOS, providing access to system resources, terminal operations, and macOS-specific environment details.
Implements the MCP server infrastructure using Python, facilitating structured command execution and system resource exposure through Python-based interfaces.
Core functionality revolves around shell interfaces, enabling secure execution of terminal commands with safeguards like restrictions, output limits, and timeouts.
Project developed as part of a Udemy course on MCP servers, demonstrating practical implementation of concepts taught in the course.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Shell Serverlist all files in the current directory"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp_shell_server
An MCP server capable of executing any terminal command securely and efficiently
MCP Shell Server - Udemy Course Project
This repository contains the final project developed during the Udemy course: "Build, Connect, Deploy: Master MCP Servers, MCP Clients, Tools & Resources for Powerful LLM Applications".
📘 Project Overview
The project demonstrates a fully functional MCP (Model Context Protocol) server that enables the execution of arbitrary shell commands from connected clients. The purpose of this server is to provide a secure and flexible interface between language models and the underlying operating system through shell access.
Related MCP server: Shell MCP Server
🚀 Key Features
Shell Command Execution: Supports dynamic execution of any shell command via a structured MCP interface.
Cross-Platform Support: Compatible with Linux, macOS, and Windows (via CMD or PowerShell).
Resource Exposure: Provides useful system-level information such as platform, hostname, shell path, and environment details.
Secure Execution: Implements safeguards like command restrictions, output length limits, and execution timeouts.
Easy Integration: Designed to be easily embedded in larger AI agent systems or connected with popular MCP clients.
🧱 Tech Stack
Python
MCP Protocol
Shell/Terminal Interfaces
This repository reflects my practical understanding and hands-on application of the principles taught in the course. Feedback and contributions are welcome!
This server cannot be installed
Resources
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Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.