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MCP server for extracting frames from video as images based on scene changes

Project description

Video Extract Frames MCP

从视频中提取帧为图片的 MCP Server,支持按间隔提取和场景变化检测。

功能

  • 按固定时间间隔提取帧
  • 提取首帧/末帧
  • 基于场景变化检测提取关键帧
  • 支持多种图片格式:png、jpg、webp、bmp、tiff

安装

uvx video-extract-frames-mcp

或通过 pip 安装:

pip install video-extract-frames-mcp

使用

video-extract-frames-mcp

工具

extract_video_frames

从视频中按间隔或特定位置提取帧为图片。

参数:

  • video_path: 输入视频路径
  • output_dir: 输出目录
  • image_format: 输出图片格式(默认 'png')
  • interval_seconds: 间隔秒数
  • extract_first: 是否提取首帧
  • extract_last: 是否提取末帧
  • width/height: 可选缩放尺寸

extract_scene_change_frames

基于画面变化检测提取场景切换关键帧。

参数:

  • video_path: 输入视频路径
  • output_dir: 输出目录
  • image_format: 输出图片格式(默认 'png')
  • scene_threshold: 场景变化阈值(0.0~1.0,默认 0.4)
  • min_scene_gap_seconds: 最小时间间隔
  • max_frames: 最多导出帧数
  • width/height: 可选缩放尺寸

依赖

  • Python >=3.12
  • FFmpeg(需系统安装)

License

MIT License

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