Browse MCP servers for SHELL-MCP-SERVER
# Shell MCP Server A Model Context Protocol server that provides shell command execution capabilities. This server enables LLMs to execute shell commands and…
MCP Shell Server is a bridge that uses the Model Context Protocol (MCP) to allow AI agents to safely execute shell commands. It supports single-line and…
shellproxy is a clean command execution proxy for AI agents, solving the "terminal blindness" problem — garbage characters, ANSI escape codes, shell init…
An MCP server that securely executes shell commands across Windows, macOS, and Linux. It provides automatic platform detection, multiple shell support, and…
# ⛓️ Context-Pipe **The Universal Standard for Context Engineering.** [](htt…
# Perseus™ 🪞 — One command. Zero orientation. [](https://smithery.ai/servers/Perseus-C…
# tmux-mcp <p align="center"> <img src="assets/logo.png" alt="tmux-mcp logo" width="320" /> </p> MCP server that gives AI assistants full visibility into your…
Shell and Coding agent for Claude and other mcp clients (wcgw) is an MCP server that provides tightly integrated shell and code editing tools, enabling chat…
Secure MCP server for whitelisted shell command execution with stdin, argv pipelines, timeouts, and structured audit logging.
A production-ready MCP (Model Context Protocol) server that provides shell command execution and system operations capabilities.
Shell Execution MCP Server for Claude and other MCP-compatible AI assistants
# MCP Server Collection A collection of Model Context Protocol (MCP) servers designed to integrate various services and APIs with AI assistants. This project…
MCP server enabling AI assistants to execute terminal commands through a secure shell interface
Simple MCP server for AI collaboration protocol context injection
# shell-mcp-server > [!WARNING] > This repository's security measures are insufficient. To install dependencies: ```bash bun install ``` To run: ```bash bun…
A local-first context runtime for AI coding agents that compresses file reads and shell output before they reach the LLM, reducing token waste by 60–95% (up to…
