#shell

When your AI runs git through a shell, it reads back raw command output — hundreds of tokens of noise to extract one piece of information. GitEasy MCP returns structured data: branch names, changed files, commit history — exactly what your AI needs, nothing extra. The same git operation at a fraction of the token cost. 21 tools, plain English, zero shell parsing.

Generate wiki docs from source code. Supports PowerShell, Python, Go, C#. Java, COBOL are coming soon.

terminal-history-mcp gives AI agents (Claude Code, Cursor, Cline, Zed, any MCP client) full-text search over your shell history. - Local-only, no cloud — SQLite FTS5 at ~/.terminal-history-mcp/history.db - Supports zsh, bash, fish - Captures cwd, exit code, duration via opt-in shell hook - 11-pattern secret redaction runs BEFORE insert (GitHub PATs, OpenAI keys, AWS, JWTs, bearer tokens, env vars, CLI flags, basic-auth URLs) - Hash-deduped, idempotent reindex - WAL mode — safe across parallel sessions Ask: "When did I last ssh into staging?", "Show failed commands today", "What did I run in /etc/nginx yesterday?", "Show context around kubectl apply".

MCP server for tmux — browse sessions, windows and panes, capture terminal output, and send commands. Force your AI agent to run all commands through tmux for full observability. Works with Claude Code, OpenCode, Cursor, Windsurf, Cline, Roo Code, Continue, Codex, and any MCP-compatible AI assistant.

A production-ready MCP (Model Context Protocol) server that provides shell command execution and system operations capabilities.

Know what every shell command does before you approve it.

shellproxy is a clean command execution proxy for AI agents, solving the "terminal blindness" problem — garbage characters, ANSI escape codes, shell init noise, and encoding issues that make AI agents unable to read terminal output. It sits between AI agents and terminals, executing commands in a clean, controlled environment and returning structured JSON output.

ShellGuard is an MCP server that lets LLM agents securely SSH into remote Linux hosts with read-only shell access. Instead of copy-pasting terminal output, your AI can run safe diagnostics, inspect logs, query systems, and troubleshoot production, staging, or dev environments autonomously. All commands are parsed, validated against a strict allowlist, and executed with timeouts and output limits—blocking destructive operations while guiding the LLM to safe alternatives.

An MCP server that publishes CLI tools on your machine for discoverability by LLMs

Enables PowerShell console to function as an MCP server for Claude Desktop.

The native MCP server for Unix PTY control gives AI models authentic, low-latency terminal access by spawning true pseudo-terminals—not brittle AppleScript hacks—so you can open persistent Bash, Python, or SSH sessions, run commands like “ssh prod.server,” and stream only fresh output thanks to smart buffering. Built on Tokio for fully asynchronous, non-blocking I/O, the service supports multi-session workflows, letting developers switch between concurrent prod-debug shells without interruption while JSON-RPC endpoints such as tools/call create_session handle lifecycle automation. This combination of real PTYs, session persistence, and high-performance async design makes the MCP server an ideal foundation for DevOps automation, cloud debugging, and AI-driven terminal orchestration.

Warp is the fastest way to build with multiple AI agents—from writing code to shipping it. The best overall coding and terminal agent.

Simple MCP server for AI collaboration protocol context injection

PowerShell MCP Server

Give hands to AI. MCP server to run shell commands securely, auditably, and on demand.

Projects on MCP server

a simple MCP server allowing VS Code to run a specific shell command without asking

✨ Agentic chat experience in your terminal. Build applications using natural language.

Run shell scripts and command line tools as MCP tools.

a Nushell cross.stream extension to interact with LLMs and MCP servers

This project provides an **MCP (Model Context Protocol)** server for automating Android devices using [uiautomator2](https://github.com/openatx/uiautomator2). It's designed to be easily plugged into AI agents like GitHub Copilot Chat, Claude, or Open Interpreter to control Android devices through natural language.

An MCP server capable of executing any terminal command securely and efficiently

support execute shell on linux

MCP server for executing shell commands.

A simple MCP (Model Context Protocol) server that exposes terminal commands and access to pictures.

a Nushell cross.stream extension to interact with LLMs and MCP servers

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a Nushell cross.stream extension to interact with MCP servers

This is an MCP (Model Context Protocol) server that allows executing shell commands within a Docker container. It provides a secure and isolated environment for running commands without giving access to the host Docker daemon.

Super Shell MCP

MCP Server for executing PowerShell scripts

Shell Execution MCP Server for Claude and other MCP-compatible AI assistants

A Model Context Protocol (MCP) server that enables secure execution of shell commands with a dynamic approval system. This server allows running arbitrary commands while maintaining security through user approval and audit logging.

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Shell and coding agent on claude desktop app