My YouTube MCP Server

What is My YouTube MCP Server?

My YouTube MCP Server is an MCP (Model Context Protocol) server that enables searching YouTube, downloading videos, uploading them to an S3 bucket, and optionally importing them into TwelveLabs for AI analysis.

How to use My YouTube MCP Server?

Install dependencies with npm install, build with npm run build, then run locally with npm start. Set required environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_S3_BUCKET_NAME, AWS_REGION, YOUTUBE_API_KEY) before starting.

Key features of My YouTube MCP Server

• Search YouTube videos via MCP tool youtube_search
• Download videos and upload to S3 via upload_videos_s3
• Optional import into TwelveLabs via import_videos_twelvelabs
• Falls back to youtube-dl-exec and ytdl-core if YouTube Data API is unavailable
• Uses YouTube Data API v3 for reliable video info

Use cases of My YouTube MCP Server

• Search and download YouTube videos for offline analysis
• Archive YouTube content to an S3 bucket automatically
• Ingest video data into TwelveLabs for AI-powered indexing

FAQ from My YouTube MCP Server

What dependencies or runtime does My YouTube MCP Server require?

It requires Node.js and npm. The MCP client must support the Model Context Protocol.

How are YouTube data and credentials handled?

A YouTube Data API v3 key is required. The server tries the official API first, then falls back to youtube-dl-exec and ytdl-core. AWS credentials control S3 access.

Where does My YouTube MCP Server store downloaded videos?

Downloaded videos are uploaded to the configured AWS S3 bucket. No local persistence is described.

What transport does My YouTube MCP Server use?

The README does not specify transport. It likely uses standard MCP stdio transport.

Are there any known limits?

The YouTube Data API v3 has daily quota limits. Exceeding those may trigger fallback methods.