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.
README
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
| Tool | Kaam | API |
|---|---|---|
get_transcript |
YouTube transcript extract | Free |
translate_script |
Text translation | OpenAI GPT-4 |
generate_voice |
AI voiceover | ElevenLabs |
create_video |
Avatar/Slideshow video | D-ID |
publish_video |
YouTube/FB/IG publish | Platform 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
- railway.app pe jao — free account banao
- "New Project" → "Deploy from GitHub repo" click karo
- Apna
vidtranslate-mcprepo select karo - Railway automatically deploy kar dega!
- "Settings" → "Domains" → "Generate Domain" click karo
- 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
| API | Link | Free Tier |
|---|---|---|
| OpenAI | platform.openai.com | $5 free credit |
| ElevenLabs | elevenlabs.io | 10k chars/month free |
| D-ID | studio.d-id.com | 20 free videos |
| YouTube | console.cloud.google.com | Free |
Local Test Karo
pip install -r requirements.txt
uvicorn main:app --reload --port 8000
Browser: http://localhost:8000
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