ai.smithery/ctaylor86-mcp-video-download-server

平台与服务

by ctaylor86

将视频工作流连接到 cloud storage,便于跨项目整理、存取和管理视频资产,提升协作与素材复用效率。

什么是 ai.smithery/ctaylor86-mcp-video-download-server

将视频工作流连接到 cloud storage,便于跨项目整理、存取和管理视频资产,提升协作与素材复用效率。

README

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:

yaml
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

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

Environment Variables

bash
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

bash
npm run start:stdio

🧪 Testing with Smithery

Use Smithery's development environment:

bash
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


Ready to deploy? 👉 Follow the deployment guide

常见问题

ai.smithery/ctaylor86-mcp-video-download-server 是什么?

将视频工作流连接到 cloud storage,便于跨项目整理、存取和管理视频资产,提升协作与素材复用效率。

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