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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Connect your video workflows to cloud storage. Organize and access video assets across projects wi…

README.md

MCP Video Cloud Server

A Remote Model Context Protocol (MCP) server that downloads videos from social media platforms (YouTube, Facebook, Instagram, TikTok, etc.) and stores them in S3-compatible cloud storage, returning publicly accessible URLs.

✨ Optimized for Smithery.ai deployment - Deploy in minutes with one-click setup!

🚀 Quick Deploy to Smithery.ai

  1. Fork this repository to your GitHub account
  2. Set up Cloudflare R2 (or AWS S3) storage
  3. Deploy on Smithery.ai - Click "Deploy" and connect your GitHub repo
  4. Configure your S3 credentials in Smithery's interface
  5. Start using - Connect to Claude Desktop and download videos!

👉 See detailed deployment instructions

✨ Features

  • Multi-Platform Support: Download from 1000+ sites via yt-dlp
  • Cloud Storage: Automatic upload to S3/R2 with public URLs
  • Transcript Extraction: Get clean text transcripts
  • Thumbnail Extraction: Extract video thumbnails
  • Audio Extraction: Extract audio in MP3 format
  • Metadata Retrieval: Get comprehensive video information
  • Remote Access: Runs in the cloud, no local setup needed
  • Smithery Integration: One-click deployment and scaling

🎯 Supported Platforms

  • YouTube
  • Facebook
  • Instagram
  • TikTok
  • Twitter/X
  • Vimeo
  • Twitch
  • And 1000+ other sites

🛠️ Available Tools

download_video_to_cloud

Download a video and store it in cloud storage.

  • Input: Video URL, quality preference
  • Output: Public URL, filename, file size, metadata

download_audio_to_cloud

Extract audio from a video and store it in cloud storage.

  • Input: Video URL
  • Output: Public URL, filename, file size, metadata

extract_transcript_to_cloud

Extract subtitles/transcript and store as clean text.

  • Input: Video URL, language code
  • Output: Public URL, filename, transcript preview

extract_thumbnail_to_cloud

Extract video thumbnail and store it in cloud storage.

  • Input: Video URL
  • Output: Public URL, filename

get_video_metadata

Get comprehensive video information without downloading.

  • Input: Video URL
  • Output: Title, uploader, duration, views, description, etc.

🔧 Configuration

The server requires S3-compatible storage configuration:

s3Endpoint: https://your-account.r2.cloudflarestorage.com
s3Region: auto
s3AccessKeyId: your-access-key
s3SecretAccessKey: your-secret-key
s3BucketName: your-bucket-name
s3PublicUrlBase: https://your-custom-domain.com  # Optional

📁 File Organization

Files are organized in your S3 bucket:

  • videos/ - Downloaded video files
  • audio/ - Extracted audio files
  • transcripts/ - Transcript text files
  • thumbnails/ - Thumbnail images

🔒 Security & Privacy

  • All files stored in your own S3 bucket
  • No data permanently stored on the server
  • Temporary files automatically cleaned up
  • Credentials securely managed by Smithery
  • Server runs in isolated containers

💰 Cost Considerations

  • Smithery Hosting: Check current pricing plans
  • Cloudflare R2: ~$0.015/GB/month storage + bandwidth
  • Processing: Included in Smithery hosting

🏃‍♂️ Local Development

If you want to run locally for development:

Prerequisites

  • Node.js 20+
  • yt-dlp installed
  • S3 credentials

Setup

git clone <your-fork>
cd mcp-video-cloud-server
npm install
npm run build:stdio

Environment Variables

S3_ENDPOINT=your-endpoint
S3_REGION=auto
S3_ACCESS_KEY_ID=your-key
S3_SECRET_ACCESS_KEY=your-secret
S3_BUCKET_NAME=your-bucket

Run

npm run start:stdio

🧪 Testing with Smithery

Use Smithery's development environment:

npm run dev

This starts a development server with the Smithery playground for testing.

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Test with npm run dev
  5. Submit a pull request

📄 License

MIT License - see LICENSE file for details

🆘 Support

  • Deployment Issues: Check DEPLOYMENT.md
  • Smithery Support: Visit https://smithery.ai/support
  • Bug Reports: Create a GitHub issue
  • Feature Requests: Create a GitHub issue

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Ready to deploy? 👉 Follow the deployment guide

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