"A guide to finding webpage information within a browser" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

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.

This MCP server enables natural, humanized control of a real Chrome browser from Cursor agents, simulating natural mouse paths, typing cadence, and scroll pauses for click, type, scroll, and navigate actions via a Chrome extension.

An MCP server that enables remote observation and control of a Chromium browser via a WebSocket relay, supporting DOM, CDP, and native OS automation for local or LAN-based AI agents.

A Windows-only MCP server for controlling a real browser using native screenshots, Windows accessibility, and node-interception mouse/keyboard input, without CDP or Playwright.

Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

MCP server that drives your real Chrome/Edge/Opera browser through a Chrome extension and DevTools Protocol, preserving logins and session state, and can also perform OS-level mouse and keyboard input behind approval.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.

Enables MCP clients to manage and orchestrate autonomous agents, budgets, and multi-agent workflows within the OpenMesha agentic operating system.

macOS automation for AI assistants: 17 typed tools for window management, application menus, keyboard input, clipboard, browser tabs, screenshots, displays and Apple Shortcuts, driven through AppleScript and JXA. Menu clicks are self-correcting — a wrong item returns the actual menu contents so the model can retry with the right one.

Provides a JSON-RPC MCP server that exposes policy-governed agent tools, including paid tools, tool muxing, and OpenAPI-to-MCP conversion, enabling agents to discover, coordinate, and execute tasks within the ProtoOS ecosystem.