"How to add MCP to the Firefox browser" matching MCP servers:

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.

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.

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

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.

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

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.

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.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

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 an AI agent to inspect which process is listening on a local port and safely plan, confirm, and verify termination of that process across platforms.

Enables an MCP client on macOS to control a paired iPhone over Wi-Fi or USB through system developer services, without any app installed on the phone. Exposes tools for device discovery and connection, fresh screenshots, taps, drags, Home, app listing and launching, and Unicode text entry.

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.

The local MCP server that gives any AI agent safe desktop control. Provides 6 compact tools (computer, accessibility, window, system, browser, task) for cross-platform GUI automation with ground-truth verification.

Web agent that keeps working when a task leaves the browser: deterministic routing between the page DOM and Windows UI Automation, with LLM-free skill replay.

MCP server for managing Karabiner-Elements keyboard remapping rules on macOS, enabling LLMs to search key codes, list/add/edit/remove/toggle rules, and switch profiles through natural language.

MCP server that lets Claude use your Mac — native apps and the browser — by remembering what it has seen instead of screenshotting every step.

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.

Enables MCP-speaking AI agents to operate a desktop and browser through structured UI inspection, mouse/keyboard gestures, tab-scoped browsing, and approved local screen recording with editing.

Enables agents to perceive and control a Windows desktop, a connected local Chromium browser, or a cloud Playwright browser through human-like mouse moves, clicks, drags, scrolling, and screenshots, forming an observe-locate-act computer-use loop. Includes safety guards such as random pauses, emergency stop, and approval prompts for destructive actions.

Enables access to and searching of browser history from major browsers (Brave, Chrome, Firefox, Safari, Edge, Arc, Opera, DuckDuckGo) to personalize LLM interactions and retrieve past browsing data through natural language queries.

Enables opening files, folders, and URLs across different operating systems with special support for Linux Flatpak Firefox installations, handling filesystem sandboxing restrictions automatically.

What Chrome DevTools MCP is for the browser, tui-mcp is for the terminal. Launch any TUI app, take screenshots, send keystrokes, read text - works with any framework.

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.

A local MCP server that exposes Mobile AI Agent capabilities from the WebADB browser as MCP tools, allowing external AI clients like Qoder and OpenClaw to control connected phones through natural language tasks, screenshots, device status, and memory management via a WebSocket relay.

Enables MCP agents to execute whole browser and macOS goals locally, supplying goals, exact values, and completion conditions while Jev handles the observe-decide-act loop.

Enables AI agents to operate Windows through persistent PowerShell sessions, dual-channel desktop perception, element-level UIA, CDP browser control, verified actions, and failure self-healing.