Labsco
MCP SERVER

MCP Video Digest

by R-lz

Turn a video URL into a transcript — audio pulled from the page, then sent to whichever speech provider you have a key for.

Speech Synthesis & Transcription
Summary
One call from a video link to text, with four speech vendors behind the same interface.

The provider indirection is the useful part: you configure whichever keys you already have and the server picks in a fixed order — Deepgram first, then Gladia, Speechmatics, AssemblyAI — so switching vendors is a key change, not a code change. Transcription is not free either way, so the cost of a long video lands on your account with that provider, not here.

What it is

A Python server that takes a video link, extracts the audio, and returns the transcribed text through get_video_content.

What you get
  • Audio pulled from YouTube, Bilibili, TikTok, Twitter and the other sites yt-dlp covers — over a thousand of them
  • Transcription through Deepgram, Gladia, Speechmatics or AssemblyAI
  • Provider chosen automatically from whichever API keys you configured, in that order
  • Speaker separation, so a two-person interview does not come back as one block
  • Async handling, with temporary files cleaned up after the job
Requirements

At least one transcription key in .env — DEEPGRAM_API_KEY, GLADIA_API_KEY, SPEECHMATICS_API_KEY or ASSEMBLYAI_API_KEY. Python 3.11 or higher is recommended, installed with uv. Served over SSE on port 8000 by default. YouTube may ask for authentication; the fix is a cookies.txt in the project root.

Setup effort

One command plus a key — npx -y mcp-remote http://<ip>:8000/sse, then supply credentials