Voice Processing · Education & Learning

Video Digest logo

Video Digest

r-lz/mcp-video-digest

MCP Video Digest is a video content processing service that can extract audio from videos on YouTube, Bilibili, TikTok, Twitter, and other platforms, and convert it to text. The service supports multiple transcription service providers, including Deepgram, Gladia, Speechmatics, and AssemblyAI, with flexible selection based on available API keys.

Install

Environment variables

DEEPGRAM_API_KEYGLADIA_API_KEYSPEECHMATICS_API_KEYASSEMBLYAI_API_KEY
GitHub stars
13
Author
@r-lz
Category
Voice Processing, Education & Learning
License
MIT
Updated
Oct 6, 2026

About Video Digest

(This is my first MCP project, primarily to familiarize myself with MCP development and operation processes)

Features

  • Support for streaming content download and audio extraction from over 1000 websites

  • Multiple transcription service providers:

  • Flexible service selection mechanism based on available API keys

  • Asynchronous processing design for improved concurrent performance

  • Comprehensive error handling and logging

  • Speaker diarization support

  • Support for local model CPU/GPU accelerated processing

Details on this page are taken from the project's README. Open README

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