MCP server for removing silent segments from audio/video files
Project description
Video Silence Remover MCP
A Model Context Protocol (MCP) server for automatically removing silent segments from audio and video files.
Features
- Silence Detection: Automatically detect silent segments based on configurable threshold
- Smart Removal: Remove silent parts while preserving audio-video sync
- Configurable Parameters: Adjust silence threshold, minimum duration, and padding
- Multi-format Support: Works with both audio and video files
Installation
Install via uvx (recommended):
uvx video-silence-remover-mcp
Or install via pip:
pip install video-silence-remover-mcp
Usage
Run the MCP server:
video-silence-remover-mcp
Requirements
- Python >=3.12
- FFmpeg installed on your system
Tools Available
remove_silence
Remove silent segments from audio/video files.
Parameters:
media_path: Input media file path (audio or video)output_media_path: Output media file pathsilence_threshold_db: Silence detection threshold in dBFS (default: -30)min_silence_duration_ms: Minimum silence duration to trigger removal in milliseconds (default: 500)padding_seconds: Buffer time to preserve before/after segments in seconds (default: 0.2)
Example:
remove_silence(
media_path="/path/to/input.mp4",
output_media_path="/path/to/output.mp4",
silence_threshold_db=-35,
min_silence_duration_ms=1000,
padding_seconds=0.3
)
License
MIT License
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