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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
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    MIT
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    An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.
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    AGPL 3.0
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    MCP tools for video transcoding, document conversion, and multi-step pipelines — callable by any AI agent.
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    MIT
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    MCP server that connects Claude to Bucket, enabling semantic search, browsing, reading, and downloading of saved content like Instagram reels, TikToks, tweets, YouTube videos, and notes, plus saving new URLs into the user's Bucket.
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    MIT
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    An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.
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    MIT
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    An MCP server that enables AI models to validate, generate, analyze, and render X3D 3D graphics content using the official X3D specification.
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    Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.
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    A token-efficient MCP server for driving TouchDesigner from AI assistants, enabling building whole node networks in one call, searching CHOP channels by glob, inspecting operators compactly, and taking screenshots of TOPs.
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    MIT
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    Enables browsing, searching, and downloading Pixiv content including illustrations, rankings, recommendations, and user bookmarks. Supports intelligent batch downloads with automatic Ugoira-to-GIF conversion and OAuth 2.0 authentication.
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    MIT
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    Provides access to the recraft-ai/recraft-v3 image generation model via Replicate, supporting high-quality image creation with granular style, size, and aspect ratio controls. It features synchronous and asynchronous generation workflows, local image downloads in WebP format, and comprehensive prediction tracking.
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