"Alacritty Terminal Emulator" matching MCP servers:

MCP server enabling AI agents to interact with terminal applications through structured Terminal State Tree representation. Works with any AI assistant that supports the Model Context Protocol.

An MCP server for controlling RetroArch via its Network Control Interface, enabling memory read/write, save states, screenshots, emulator control, and gamepad input through the Network RetroPad protocol.

Enables Claude to send questions via Telegram and receive answers from your phone, bypassing terminal popups.

A local, stdio-only Model Context Protocol server that lets coding agents inspect, control, and test Apple iOS Simulators and Google Android Emulators. It exposes 29 typed tools for device lifecycle, app management, UI automation, screenshots, logs, permissions, location, and platform-specific test conditions.

An MCP server that lets coding agents drive and verify mobile apps on iOS Simulator and Android Emulator, providing blocking wait primitives and semantic UI diffs to replace screenshot polling.

Enables programmatic control of the mGBA emulator for Game Boy, Game Boy Color, and Game Boy Advance games, including screenshot capture, memory reading, sprite data dumping, and custom Lua script execution for automated testing and game analysis.

Local MCP server for automating the Eden Nintendo Switch emulator, enabling control of Switch buttons, touch input, screenshots, and parallel sessions via the control-enabled custom build.

Enables AI clients to control an Android emulator via MCP, allowing tasks like tapping, typing, swiping, taking screenshots, and installing apps through natural language commands.

Enables AI assistants to send WeChat messages and take screenshots through ADB automation with LDPlayer emulator. Supports automated WeChat replies to multiple contacts with personalized messages for business and personal use.

Enables controlling MuMu Player 12 Android emulator on macOS, including emulator lifecycle, app management, UI automation, screen capture, device settings, and ADB shell commands.

A one-way MCP channel that forwards Slack events (messages and reactions) into a Claude Code session, enabling Claude to react to Slack activity without leaving the terminal.

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.

Enables AI agents and humans to search products across multiple stores, compare prices, and place real orders directly from the terminal using 46 MCP tools.

MCP server for managing ad campaigns across Google Ads, Meta, and more. Enables deploying campaigns, checking performance, and managing budgets from terminal or AI assistants.

An MCP server for managing local Android Virtual Devices (AVDs) and their lifecycles using Android SDK tools. It enables users to create, start, and stop emulators, while providing control over virtual sensors like the accelerometer and gyroscope.

Provides tools to manage SSH targets and generate one-time WebShell terminal sessions through an integrated gateway. It enables AI agents to facilitate remote server access by creating and managing secure, browser-based terminal links.

A production-grade server for programmatically controlling kitty terminal instances, allowing users to launch windows, send text or key combinations, and capture scrollback buffer content. It facilitates automation workflows and command analysis by providing remote control over the kitty terminal through the Model Context Protocol.

Enables AI agents to fully control an Android emulator via MCP, including UI interaction, screenshots, APK installation, logging, and clipboard access, with optional live browser viewing for humans.

Enables control of Android emulators (MumuEmulator or ADB-connected devices) through natural language, supporting app management, screen interactions (tap/swipe), screenshots, and device information retrieval.

Provides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.