"Arch Linux" matching MCP servers:

Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

Enables provider-neutral automation of dedicated Linux desktop applications across private X11, KWin/Wayland, headless Chromium, and explicitly enrolled Sway sessions through MCP. It supports input, screenshots, window targeting, cancellation, timeouts, and crash recovery while reporting each backend's limits.

Enables Puppeteer-based web automation (navigation, screenshots, PDF generation, JavaScript execution, clicking) on Android Termux by running Chromium inside an Alpine Linux container.

Enables tool-capable AI models to operate a private Linux desktop and headless browser, with terminal, file, and application controls, while keeping your physical mouse and keyboard separate.

Drop-in WSL-safe wrapper for @playwright/mcp that prevents Chromium GPU crashes on Windows Subsystem for Linux.

Control Linux WiFi from Claude and other MCP clients — scan, connect, debug, and automate networks (WPA-PSK, WPA2-Enterprise, EAP-TLS, Hotspot 2.0, captive portals, MAC randomization) over the Model Context Protocol.

A model context protocol server for Deepin Linux, providing system control, file management, web search, browser automation, and Git operations.

Enables AI models to securely control remote Linux servers via SSH for command execution, file operations, and system monitoring, plus browser automation capabilities for web navigation, form interaction, and screenshot capture.

AI-controlled browser farm — run N isolated Chromium instances with 36 MCP tools for device emulation, screenshots, network/geolocation simulation, and diagnostics. Cross-platform: Windows GUI + headed/headless on Linux/macOS.

Lets OpenCode check whether Arc is open on Windows and navigate it to absolute HTTP(S) URLs from WSL2, even when another browser is the Windows default.

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

Enables measuring DOM elements and capturing screenshots in a real local Chrome browser over the DevTools Protocol, with in-page login so httpOnly cookies apply and overlay-masking before capture. It removes common Chrome automation traps such as sandbox kills, WebSocket origin rejection, and Retina pixel scaling, with no npm or Python dependencies beyond the MCP SDK.

An MCP server for the Arc browser that enables programmatic management of spaces and tabs. It supports actions like listing, creating, and deleting spaces and tabs, as well as focusing spaces and opening URLs via AppleScript.

Enables AI agents to drive the Arc browser on macOS, including tab management, navigation, page reading, DOM interaction, and JavaScript scripting via AppleScript automation.

Enables Claude Code to control the Arc browser over CDP, including navigation, clicking, form filling, screenshots, and reading console and network traffic.

Enables AI assistants to search and analyze Avito listings, inspect item and seller details, download listing photos for visual review, read chats, and send messages or negotiate through a locally authenticated browser session on Windows, macOS, and Linux.

Hybrid computer-use MCP server that automates browsers and native macOS/Linux apps by fusing accessibility trees, Chrome DevTools Protocol, and vision into one structured context. Exposes four composable tools — cel_see, cel_act, cel_think, cel_perceive — that work with any MCP client and run fully offline via Ollama.

Enables inspection and control of Arc Browser spaces and tabs on macOS, including reading sidebar/history data and performing actions like focusing spaces, creating and closing tabs.

Self-hosted MCP server that gives AI assistants a real Linux development environment: file editing, shell commands, tmux terminals, and browser screenshots, with bounded access through a project registry and write gates.