YouTube Transcript MCP

Example Use Cases

• 1

  Obtain full transcripts from YouTube videos to enable search, summarization, or QA over video content.

• 2

  Language-preference handling and automatic fallback to audio transcription when subtitles are missing.

• 3

  An MCP-compatible service to integrate video-to-text extraction into chat assistants or automation pipelines.

Description

This MCP server provides a dual-approach transcription system: it first attempts to retrieve YouTube subtitles and, if unavailable or requested, downloads and transcribes audio using speech recognition. It supports preferred languages, handles video ID processing, audio conversion (via FFmpeg/pydub), and chunked speech recognition for long videos. The project exposes an async get_youtube_transcript tool for integration with AI assistants and MCP-compatible clients, enabling reliable transcript retrieval for downstream tasks.