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"MCP server for browser automation, form filling, system login, and website navigation" matching MCP servers:

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    Agent-native browser control MCP server that enables AI agents to browse and interact with web pages via accessibility tree snapshots and ref ID-based commands.
    15
    2
    MIT
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    An MCP server for auditing automation health, finding failures, stale logs, and non-functional endpoints that report success while quietly failing.
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    MIT
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    A local MCP server that leverages your real Chrome session to read and interact with web pages, including JavaScript-rendered and login-required content. Supports page actions like clicking, scrolling, typing, and platform-specific tools for Zhihu, Xiaohongshu, X, Reddit, and search engines.
    24
    MIT
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    Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.
    12
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    MIT
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    A Model Context Protocol server that provides browser automation capabilities using BrowserCat's cloud browser service. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.
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    MIT
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    Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.
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    239
    MIT
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    Enables comprehensive control and automation of Yandex Browser, including tab management, content extraction, and console log monitoring. It supports element interaction, form filling, and JavaScript execution through the Model Context Protocol.
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    Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.
    3
    Apache 2.0
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    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
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    Inno Setup