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"Debugging Chrome and HTML for Use with Playwright" matching MCP servers:

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    Enables Model Context Protocol tools for automating web browsers and Electron desktop applications using Playwright's accessibility tree snapshots. It supports window management and JavaScript execution in the main process, providing deterministic automation through structured data.
    164
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    Apache 2.0
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    Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.
    18
    66
    5
    MIT
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    A Model Context Protocol server that enables AI assistants to perform web automation tasks by connecting to remote Playwright/browserless instances, supporting navigation, screenshots, HTML extraction, and element interaction.
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    A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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    5,633
    MIT
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    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.
    13
    MIT
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    Enables comprehensive browser automation and web interaction through Playwright with 50+ specialized functions for navigation, form filling, data extraction, and Chrome DevTools Protocol support. Designed specifically for AI agents to perform complex web workflows including scraping, testing, and automated browsing tasks.
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    1
    Apache 2.0
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    An MCP server for stealth browser automation that uses human-like interaction patterns to bypass bot detection via the Chrome DevTools Protocol. It enables users to navigate, interact with elements, and capture data from websites using undetectable behaviors like Bezier mouse movements and Gaussian typing delays.
    180
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    MIT
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    An extension-based MCP server that enables AI assistants to control your browser, leveraging existing sessions and login states for automation and content analysis. It provides over 20 tools for semantic tab search, interactive element manipulation, and network monitoring directly within your daily Chrome environment.
    MIT
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    Transforms Chrome browser into an AI-controlled automation tool that allows AI assistants like Claude to access browser functionality, enabling complex automation, content analysis, and semantic search while preserving your existing browser environment.
    MIT
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    Enables AI assistants to control and automate your Chrome browser directly, leveraging existing login states and configurations for tasks like content analysis, semantic search across tabs, screenshots, network monitoring, and interactive operations.
    10
    MIT
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    An extension-based MCP server that enables AI assistants to control your existing Chrome browser, leveraging your active login states and settings for automation. It provides over 20 tools for tasks like semantic tab search, screen capture, network monitoring, and direct element interaction.
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    A Model Context Protocol server that provides browser automation capabilities by allowing LLMs to interact with web pages through structured accessibility snapshots. It enables fast, lightweight interaction with web content without the need for vision-tuned models or visual processing.
    Apache 2.0
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    Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.
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    Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.
    5
    MIT
  • F
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    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
    15
    4