A
licenseNot graded
qualityC
maintenanceAn MCP server that downloads videos/extracts audio from various platforms like YouTube, Bilibili, and TikTok, then transcribes them to text using OpenAI's Whisper model.
11
MIT
transcript-mcp-claude
Provides tools for extracting transcripts, video information, and listing captions from YouTube videos.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@transcript-mcp-claudetranscribe YouTube video https://youtu.be/dQw4w9WgXcQ"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
transcript-mcp-claude
MCP Server All-in-One สำหรับ Transcription - รวม YouTube, Audio, Video + Translation, Summarization, Chapters, Subtitles, Batch Processing
Features
19 MCP Tools ใน 8 หมวด:
หมวด | Tools | คำอธิบาย |
YouTube (3) |
| ดึง transcript และข้อมูลจาก YouTube |
Audio (2) |
| แปลงไฟล์เสียงเป็นข้อความด้วย Whisper |
Video (2) |
| แปลงไฟล์วิดีโอเป็นข้อความด้วย ffmpeg + Whisper |
Translation (2) |
| เตรียมข้อมูลสำหรับแปลภาษา |
Summarization (3) |
| สรุปเนื้อหา, ดึง key moments, สร้าง blog post |
Chapters (2) |
| สร้าง chapter markers + YouTube format |
Subtitles (3) |
| Export SRT/VTT/ASS, แปลง format, ปรับ timing |
Batch (2) |
| ประมวลผลหลายไฟล์พร้อมกัน |
Related MCP server: YouTube Transcript Fetcher (YTT)
Tech Stack
Language: TypeScript (strict mode, ES2022)
Runtime: Node.js 22 + Python 3.12
MCP SDK: @modelcontextprotocol/sdk v1.0.0
Transport: Streamable HTTP (port 3013) + Stdio
STT Engine: faster-whisper (CTranslate2, CPU, int8)
YouTube: Innertube API + yt-dlp fallback
Video/Audio: ffmpeg + ffprobe
Build: Multi-stage Docker (node:22-slim → python:3.12-slim)
Quick Start
Docker (แนะนำ)
# Build and start
docker compose up -d --build
# ตรวจสอบ
curl http://localhost:3013/healthLocal Development
# Install dependencies
npm install
# Build TypeScript
npm run build
# Start HTTP server
npm start
# Start Stdio server
npm run start:stdio
# Development mode (watch + auto-compile)
npm run devEnvironment Variables
Variable | Default | คำอธิบาย |
| 3013 | Server port |
| 0.0.0.0 | Server host |
| th | ภาษาเริ่มต้น |
| tiny | Whisper model: tiny, base, small |
| int8 | Compute type: int8, float16, float32 |
| 600 | Audio max duration (วินาที) |
| 1800 | Video max duration (วินาที) |
| 2 | CPU threads สำหรับ inference |
MCP Configuration
เพิ่มใน .mcp.json:
{
"mcpServers": {
"transcript": {
"url": "http://localhost:3013/mcp"
}
}
}Usage Examples
YouTube Transcript
ดึง transcript จาก YouTube video นี้: https://youtube.com/watch?v=xxxAudio Transcription
แปลงไฟล์เสียง /app/data/audio.mp3 เป็นข้อความVideo Transcription
แปลงไฟล์วิดีโอ /app/data/video.mp4 เป็นข้อความExport Subtitles
สร้างไฟล์ SRT จาก transcript ที่ได้Generate Chapters
สร้าง chapter markers จาก transcript สำหรับใส่ YouTube descriptionBatch Processing
Transcribe ไฟล์ทั้งหมดใน folder /app/data/Supported Formats
Audio: MP3, WAV, M4A, OGG, FLAC, WebM, WMA, AAC, Opus
Video: MP4, MKV, AVI, MOV, WebM, FLV, WMV, TS, M4V
Subtitles: SRT, VTT, ASS, TXT, JSON
Architecture
Client (Claude) → MCP Protocol → transcript-mcp-claude (port 3013)
├── YouTube (Innertube API / yt-dlp)
├── Audio (faster-whisper)
├── Video (ffmpeg → faster-whisper)
├── Translation (data structuring)
├── Summarization (data structuring)
├── Chapters (timestamp analysis)
├── Subtitles (SRT/VTT/ASS export)
└── Batch (multi-file orchestration)Port Convention
Port | Project |
3010 | youtube-mcp-claude |
3011 | audio-mcp-claude |
3012 | vdo-mcp-claude |
3013 | transcript-mcp-claude (All-in-One) |
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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