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mcp_shell_server

mcp_shell_server

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github.com/JMReaderDeveloper Tools1Updated 80w ago

About mcp_shell_server

mcp_shell_server is a course-project MCP server that lets connected clients run shell commands through a structured interface. It also exposes system information and includes safeguards such as command restrictions, output limits, and execution timeouts.

Key features

  1. 01Execute arbitrary shell commands
  2. 02Support Linux, macOS, and Windows
  3. 03Expose system-level information resources
  4. 04Restrict commands and enforce timeouts

Use cases

  1. 01Run terminal operations from AI applications
  2. 02Inspect host and environment information
  3. 03Add shell access to agent systems

MCP support

The MCP server exposes shell command execution to clients through a structured interface, along with resources for platform, hostname, shell path, and environment details.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

🚀 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!

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.