"How to perform commands in a terminal" matching MCP servers:

A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.

Records your terminal sessions per command (PTY + OSC 133) into local SQLite, so AI agents can search, retrieve, and diff what commands actually printed. Secret redaction is applied by default to everything served over MCP.

Enables AI tools to perform real-time Google Search with grounded answers and inline citations, free with a Google account.

A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

A Go CLI and MCP server for cross-posting to Twitter, LinkedIn, and Reddit from your terminal or AI agents, with secure local credential storage.

A modern community hub with forum and knowledge base. Native MCP built-in, ready for the next era of internet culture.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.

Enables AI agents to interact with real terminal sessions across local and remote hosts, driving multi-turn interactive programs like TUIs, REPLs, and SSH prompts through MCP.

A Model Context Protocol server that enables AI assistants to control Philips Hue smart lighting systems through natural language commands.

Enables AI agents to securely execute terminal commands with persistent sessions, async jobs, and mission control, while providing a live dashboard for human oversight.

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

ZCP is a CLI with Zerops MCP that makes your agent a Zerops power-user. It runs either inside your project, or is connected through zCLI's VPN functionality to the project from your terminal. Your agent. Your subscription. Your code. Your infrastructure. Your IDE.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables AI agents to remotely execute shell commands and transfer files on SSH hosts, including jump-host tunneling, background tasks, resumable transfers, and optional approval of destructive commands, while SSH credentials remain in the local process. It runs over stdio or a streamable HTTP daemon and supports auditing, allow/deny lists, and multiple authentication methods.

Enables AI agents to interact with serial devices via MCP tools, providing serial port discovery, connection, read/write, and status management, while sharing the same serial connection with a browser-based terminal.

The Time MCP Server is a Model Context Protocol (MCP) server that provides AI assistants and other MCP clients with standardized tools to perform time and date-related operations. This server acts as a bridge between AI tools and a robust time-handling back