wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

ShellKeeper is an MCP service that provides persistent terminal sessions and file transfer functions for AI assistants, solving the stateless problem of traditional AI command execution, and supporting SSH connections, server operations, and file uploads and downloads.

Pandora's Shell is an MCP server project that allows AI assistants to execute terminal commands on the user's system. It should be used with caution in a controlled environment.

quiet - shell is an MCP server that reduces the context consumption of AI agents by intelligently filtering shell command output, focusing on displaying errors, failures, and summary information, and improving development efficiency.

MCP Cron is a task scheduling server based on the MCP protocol. It supports scheduling Shell commands and AI tasks through cron expressions and provides task management and execution functions.

An MCP server that provides stateful Django shell interaction for AI assistants, allowing direct execution of Python code in a Django project and maintaining session state

MCP Serve is a powerful deep learning model server tool that supports deployment through Shell execution, Ngrok connection, or Docker containers, and integrates multiple advanced AI technologies.

The Shell MCP Server is a service that provides secure Shell command execution capabilities for AI applications, supporting multi - platform and multi - Shell environments.

A Linux command proxy service implemented based on the Spring AI framework, supporting local and SSH remote execution of Shell commands

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

An AI-assisted development environment based on VS Code development containers, integrating the MCP server to enable interaction with Claude for file system and shell operations.

The Daytona MCP interpreter is a server that implements the Model Context Protocol (MCP) standard, providing AI assistants with the ability to execute Python code and Shell commands in a secure isolated environment.

Lilith Shell is an enhanced MCP server that allows AI assistants to execute commands in the terminal, providing security controls and testing capabilities. It should be used in a virtual machine or a resettable development environment due to security risks.

A Docker-based FastMCP server that provides a secure code execution, Shell command, and multi-language running environment for AI agents, supporting integration with Claude Desktop and Cursor

This project sets up an MCP - compatible terminal server on the Windows system to enable communication between external tools and Claude - AI, supporting the execution of Shell commands in the specified workspace.

The MCP Scheduler is a task scheduling server based on the Model Context Protocol, supporting the scheduled execution and management of multiple task types (Shell commands, API calls, AI tasks, reminder notifications). It provides complete execution history records and flexible cron expression scheduling functions.

Lilith Shell is an enhanced MCP server that allows AI assistants to execute terminal commands in a controlled environment, with security validation and output capture functions.

An MCP Server Collection project that provides multiple service integrations for AI assistants, including functions such as search, file system, Git, GitHub, Shell, Figma, Slack, web scraping, and Notion. It enhances the capabilities of AI assistants through the Model Context Protocol.

Shell MCP Server is a tool that provides secure Shell command execution capabilities for AI applications, supports multiple Shell environments, and has security features such as directory isolation and timeout control.