"chrome" matching MCP servers:

MCP server that lets a private ChatGPT app remotely control a paired Windows PC, including files, PowerShell, programs, screenshots, mouse/keyboard, clipboard, and Chrome.

Allows AI clients to see and control Windows 10/11 desktops via MCP, with screenshots, UI Automation, Chrome CDP, keyboard/mouse, and terminal using semantic element targeting.

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.

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 MCP agents to control macOS natively with shell, PTY, background Chrome automation, and Accessibility-based desktop control.

Open-source, local macOS MCP server for AI agents. Automate background Safari/Chrome tabs, native apps, files and shell with scoped permissions, optional approvals and delegated coding agents.

Enables ChatGPT to access a reviewed local toolbox for project files, Git, bounded terminal commands, Chrome/Edge browsing, and live Excel control, while invoking the Codex model only when needed.

Enables ChatGPT to access a reviewed local toolbox for project inspection, file editing, bounded terminal commands, Chrome/Edge browsing, live Excel control, and explicit Codex model calls only when needed.

MCP Bridge is a local-first Linux/Windows desktop app connecting ChatGPT to approved files and Chrome through authorized OpenAI tunnels, with optional shell tools. The Glama-hosted v0.1.0 release is a restricted READ-ONLY documentation demo: five tools can access only bundled public examples, not your computer, browser, credentials, shell, or files.

Enables ordinary ChatGPT web Chat to work directly on a local machine over a private MCP tunnel — reading and editing project files, running shell commands and tests, loading local skills, manipulating images, and driving Chrome — without spinning up a separate coding agent or additional model-generation API calls. It also supports multi-step task plans with persisted execution receipts and acceptance checks so results from real runs are returned to the conversation.