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"Using the Browser-use library" matching MCP servers:

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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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    AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
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    MIT
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    Fast Browser is an MCP server that lets Claude Code and Codex drive an existing Chrome browser with your real profile, logins, and tabs, using a macro library for multi-step flows in single tool calls and supporting concurrent agents with isolated tab groups.
    386
    MIT
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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.
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    MIT
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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 AI assistants to control Spotify playback, search for music, manage playlists, and access library information through the Spotify API. Requires Spotify Premium for playback control features.
    4
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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
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    Enables AI assistants to search for pet sitters, manage bookings, and handle pet profiles through the Rover pet services marketplace. It facilitates direct communication with sitters and service management using Playwright-based browser automation.
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    MIT
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    Connects Claude to your Steam library via the Steam Web API. Query your games, playtime, recently played history, and store metadata using natural language. Zero-config install via npx steam-mcp.
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    5
    MIT
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    Provides comprehensive WhatsApp Business API functionality with 18 tools for sending messages, media, interactive buttons/lists, templates, reactions, and managing message status through the PyWA library.
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    MIT
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    Enables browser automation using Puppeteer through the MCP interface. Allows launching browsers, creating pages, and executing arbitrary JavaScript for web scraping, testing, and debugging tasks.
    5
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    MIT
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    Enables interaction with Slack workspaces as a user, supporting channel listing, message posting, threading, reactions, and user management via the Slack API.
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    MIT
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    Integrates the LINE Messaging API with AI agents via the Model Context Protocol, supporting both stdio and SSE transport protocols. It allows agents to send messages, manage rich menus, and retrieve user profile information for LINE Official Accounts.
    10
    1,569
    Apache 2.0