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