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Why this server?
This server integrates Shaka Packager with Claude AI applications, enabling Claude to analyze, transcode, and package video files for streaming in formats like HLS and DASH, relating to video understanding through processing.
Why this server?
Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol, enabling interaction with YouTube content.
Why this server?
Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.
Why this server?
A server that enables LLM applications to interact directly with DaVinci Resolve video editing software, allowing AI-assisted capabilities like accessing timeline information and automating editing workflows.
Why this server?
A Model-Context Protocol Server for YouTube in Jp.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol, enabling interaction with YouTube content.
Why this server?
Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol, enabling interaction with YouTube content.
Why this server?
Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.