What file formats does subtitle-mcp support for transcription?
It supports audio formats `.mp3` and `.wav`, and video formats `.mp4` and `.mov`. Transcriptions are output as `.srt` subtitle files.
@onebirdrocks
Basic information
This is a MCP Server for ETL(Extract Translate and Load)
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
subtitle-mcp is a local server that provides subtitle management, transcription, summarization, and comprehension assessment services. It is designed for users who need to process, analyze, and generate subtitles from local files or YouTube videos without relying on cloud services.
Install dependencies with pip install -r requirements.txt, then configure a directory for .srt files. Use the server’s tools to load subtitles, transcribe audio/video files into .srt, extract YouTube subtitles, and generate summaries or assessments.
.srt subtitle files from a specified directory..srt using Whisper.It supports audio formats `.mp3` and `.wav`, and video formats `.mp4` and `.mov`. Transcriptions are output as `.srt` subtitle files.
Most tasks run entirely locally. An internet connection is needed only for extracting subtitles from YouTube videos or downloading audio for auto‑transcription.
The directory for `.srt` files is specified in the server configuration when loading subtitles. The README notes that you “load .srt subtitle files from a specified directory” without further details.
Yes, if official subtitles are unavailable, subtitle-mcp can automatically transcribe the YouTube video’s audio using its built‑in ASR model.
The README does not mention any specific limits on file size or duration for transcription or subtitle processing.

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