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"Best browser-based media player controllers (MPC)" matching MCP servers:

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    An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.
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    MIT
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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.
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    MIT
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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.
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    Apache 2.0
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    Enables users to generate AI-powered music videos by analyzing visual content to compose matching soundtracks using Google's Lyria model. The server automatically merges audio and media into playable video artifacts that can be rendered inline within MCP-compatible chatbots.
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    A Playwright-based MCP server that prioritizes browser observation over automation, providing specialized tools for inspecting DOM, network, and console data. It categorizes operations into safe inspection tools and interactive action tools that require explicit escalation and justification.
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    An MCP server that extracts rich metadata (title, description, duration, chapters, subtitles, statistics, etc.) from media URLs across thousands of sites using yt-dlp, and also provides transcript fetching and search capabilities.
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    MIT
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    Enables inspection and control of Arc Browser spaces and tabs on macOS, including reading sidebar/history data and performing actions like focusing spaces, creating and closing tabs.
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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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    MIT
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    Enables AI agents to control a browser with self-healing locators that automatically recover when selectors change, allowing reliable web automation through natural language.
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    MIT
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    MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.
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    GPL 3.0
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    A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.
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    2
    MIT