MCP server for video content extraction: audio extraction, video trimming, frame extraction, and scene detection
Project description
Video Content Extractor MCP
A Model Context Protocol (MCP) server for video content extraction: audio extraction, video trimming, frame extraction, and scene detection.
Features
- Audio Extraction: Extract audio tracks from video files in various formats
- Video Trimming: Cut video segments by time ranges with smart codec copying
- Frame Extraction: Extract frames at intervals, first/last frames, or by scene changes
- Scene Detection: Automatically detect scene changes and extract key frames
Installation
Install via uvx (recommended):
uvx video-content-extractor-mcp
Or install via pip:
pip install video-content-extractor-mcp
Usage
Run the MCP server:
video-content-extractor-mcp
Requirements
- Python >=3.12
- FFmpeg installed on your system
Tools Available
extract_audio_from_video- Extract audio tracks from video filestrim_video- Trim video segments by time rangeextract_video_frames- Extract frames at intervals or specific positionsextract_scene_change_frames- Extract frames based on scene change detection
License
MIT License
Project details
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