"Browser Automation" matching MCP servers:

Provides comprehensive Windows system control including file operations, process management, window control, screenshots, clipboard access, PowerShell/CMD execution, and optional mouse/keyboard automation and browser control capabilities.

An MCP server for comprehensive browser automation and full local PC control via shell commands and Python execution. It enables tasks like web navigation, file system management, and remote access through SSE with token authentication.

A custom MCP server for Playwright browser automation and system control, providing 25 tools to enable Claude Code to perform web interactions and system tasks via natural language.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Enables Claude to manage multiple SSH connections, execute remote commands, and transfer files across servers. Supports secure authentication, default directories, sudo operations, and deployment automation with profiles for different project types.

Terminal multiplexer MCP server for orchestrating parallel AI agents. Manages workspaces, panes, surfaces with send_input/read_screen/spawn_agent/stop_agent tools. Supports Claude Code, Codex, Gemini, Cursor CLI agents with lifecycle management, browser automation, and agent status push via Claude --channels.

Enables a private ChatGPT app to remotely control a Windows PC through file operations, PowerShell, screenshots, mouse and keyboard input, clipboard, and Chrome browser automation.

Windows-focused MCP server for terminal automation with persistent PowerShell sessions, live session logs, and VS Code integrated terminal bridge.

Enables secure PowerShell command execution with specialized script generation for Microsoft Intune and IBM BigFix management platforms, including detection/remediation scripts, system monitoring, and enterprise automation.

MCP server for Android device automation via ADB, enabling screen control, phone functions, app management, and device control.

Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.

An MCP server that provides AI agents with a full Ubuntu desktop environment inside Docker, enabling them to perform complex computer tasks like browsing, coding, testing, and GUI automation.

A simple MCP server that provides waiting functionality to pause until other tasks finish, with progress reporting and support for CLI or HTTP server with SSE.

Publishes an OAuth-gated MCP endpoint with 38 governed tools that let web-based AI clients read and edit local files, run whitelisted shell commands, search code, use read-only Git and SQLite, drive browser and DevTools automation, manage background tasks, ports, clipboard, and localhost services. It keeps that broad control safe by default through a strict command whitelist and configurable allowed folders instead of unrestricted shell access.

Enables AI-driven phone management for Android and iOS devices, including flashing, unlocking, and automation via MCP.

Legacy MCP server for console automation that preserves interactive sessions, a 40-tool command/test surface, and legacy protocol adapters for local/remote execution. Intended only for migrations to RunBeacon 3.0.

Connects web AI chats and local clients to your own machine through one OAuth-gated MCP endpoint, exposing 38 governed tools for files, shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, localhost services, clipboard, notifications, ports, and Postman control. It lets assistants build and edit projects, inspect databases and local APIs, drive browser workflows, and manage long-running jobs without handing every client unrestricted shell access.

A native Windows terminal multiplexer with MCP bridge for AI agents, enabling browser automation, multi-agent coordination, and terminal control.

Enables AI agents to operate disposable Linux computers via MCP, providing tools for shell, file read/write, directory listing, and port exposure. It also supports browser automation and integration with any MCP-compatible client.

Pixel-level browser automation MCP server that drives a real Chrome browser using screenshots as vision input and OS-level mouse/keyboard as output, evading anti-bot detection.