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VidTranslate MCP Server

Enables AI-powered translation of YouTube videos into localized versions with synthesized voiceovers and avatar videos. Supports the full content pipeline from transcript extraction and translation to video generation and publishing across social platforms.

glama
Updated
Apr 3, 2026

VidTranslate MCP Server

YouTube videos ko AI se translate karke naya video banao — Thesys Agent Builder ke liye MCP server.

Pipeline

YouTube URL → Transcript → GPT-4 Translation → ElevenLabs Voice → D-ID Avatar Video → Publish

Tools

ToolKaamAPI
get_transcriptYouTube transcript extractFree
translate_scriptText translationOpenAI GPT-4
generate_voiceAI voiceoverElevenLabs
create_videoAvatar/Slideshow videoD-ID
publish_videoYouTube/FB/IG publishPlatform APIs

Railway Pe Deploy Karo (FREE)

Step 1 — GitHub pe upload karo

git init
git add .
git commit -m "VidTranslate MCP Server"
git branch -M main
git remote add origin https://github.com/AAPKA-USERNAME/vidtranslate-mcp.git
git push -u origin main

Step 2 — Railway pe deploy karo

  1. railway.app pe jao — free account banao
  2. "New Project" → "Deploy from GitHub repo" click karo
  3. Apna vidtranslate-mcp repo select karo
  4. Railway automatically deploy kar dega!
  5. "Settings" → "Domains" → "Generate Domain" click karo
  6. Aapka URL milega: https://vidtranslate-mcp-XXXX.railway.app

Step 3 — Test karo

Browser mein kholo:

https://aapka-railway-url.railway.app/
https://aapka-railway-url.railway.app/health
https://aapka-railway-url.railway.app/mcp

Thesys Mein Connect Karo

Thesys Agent Builder → Tools/MCP section mein:

MCP Server URL: https://aapka-railway-url.railway.app/mcp

Headers:
{
  "x-openai-key": "sk-YOUR-OPENAI-KEY",
  "x-elevenlabs-key": "YOUR-ELEVENLABS-KEY", 
  "x-did-key": "Basic YOUR-DID-KEY",
  "x-yt-token": "YOUR-YOUTUBE-TOKEN"
}

API Keys Kahan Se Milenge

APILinkFree Tier
OpenAIplatform.openai.com$5 free credit
ElevenLabselevenlabs.io10k chars/month free
D-IDstudio.d-id.com20 free videos
YouTubeconsole.cloud.google.comFree

Local Test Karo

pip install -r requirements.txt
uvicorn main:app --reload --port 8000

Browser: http://localhost:8000

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