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⇱ Information or resources about video editing | Glama

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Information or resources about video editing

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  • Why this server?

    This server enables video editing using natural language commands powered by FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking and error handling.

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    Enables video editing using natural language commands powered by FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking and error handling.
    Last updated
    49

  • Why this server?

    Connects 'yt-dlp' with LLMs via the Model Context Protocol, allowing users to download YouTube content and integrate it with Dive and other MCP-compatible LLMs, which can be used for creating clips.

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    Connects 'yt-dlp' with LLMs via the Model Context Protocol, allowing users to download YouTube content and integrate it with Dive and other MCP-compatible LLMs.
    Last updated
    252
    250
    MIT

  • Why this server?

    A server that enables generating videos from static images using Vidu's AI models, with features for image-to-video conversion, task monitoring, and image uploading.

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    A server that enables generating videos from static images using Vidu's AI models, with features for image-to-video conversion, task monitoring, and image uploading.
    Last updated
    3
    3
    MIT

  • Why this server?

    Allows AI assistants like Claude to directly interact with and control DaVinci Resolve through the Model Context Protocol, providing capabilities for project management, timeline manipulation, media management, and Fusion integration.

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    Allows AI assistants like Claude to directly interact with and control DaVinci Resolve through the Model Context Protocol, providing capabilities for project management, timeline manipulation, media management, and Fusion integration.
    Last updated
    14
    70
    MIT

  • Why this server?

    Connects to the xAI/Grok image generation API, allowing users to generate images from text prompts with support for multiple image generation and different response formats. Could be used to create image assets for video editing.

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    A lightweight server that exposes FFmpeg's video processing capabilities to AI assistants through the Model Context Protocol (MCP), supporting operations like video format conversion, audio extraction, and adding watermarks.
    Last updated
    8
    14
    25
    MIT