"Information about computer usage" matching MCP servers:

An MCP server that enables browser control agents to plan and execute UI tasks using Gemini Computer Use.

Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.

A sandboxed computer-use MCP server that lets an AI agent drive a real browser and desktop apps, confined to a nested X11 window so it cannot touch your real screen or files.

Lets AI agents like Claude capture website screenshots, check cache status, and monitor usage.

Provides several x402 utilities to reduce token usage, web scraping, and chron jobs

MCP server providing tools for web scraping, browser automation, computer vision, audio transcription, and RAG via API.

Automates T-Mobile account interactions such as viewing usage, paying bills, and checking upgrade eligibility using Playwright browser automation.

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

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.

MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

Enables safe automation of Chrome browser through a local MCP server and Chrome extension, allowing LLMs to control browser tabs, pages, and computer-use actions with permission controls.

Enables token-efficient web page fetching by converting HTML to Markdown with tiered access (outline, section, search) to minimize LLM context usage.

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.

Enables AI agents to operate local desktops and Chromium browsers through MCP tools, unifying accessibility trees, physical input, screenshots, DOM/ARIA, visual grounding, and result verification.

Enables LLMs to perform web search and fetch with a frozen cutoff date, enforcing server-side time-lock and usage budgets to prevent lookahead contamination.

Enables AI hosts to drive cross-platform desktop GUI automation and browser control, providing tools to read, click, type, send shortcuts, screenshot, and verify GUI elements and web pages.

An MCP server that enables LLMs to see and control a computer — screen capture, window management, mouse and keyboard automation — with a structured plan-execute workflow for complex desktop automation.

MCP proxy that filters oversized tool responses, downscaling screenshots and pruning accessibility snapshots to reduce token usage in LLM interactions.

Optimizes browser automation for AI agents by reducing token usage and latency through smart element extraction and caching.