Transforms YouTube videos into LLM-ready knowledge bases through transcription, semantic chunking, and vector embedding services. It provides 12 specialized MCP tools for video processing, semantic search, and SEO intelligence analysis.
A Model Context Protocol (MCP) server that provides comprehensive video tools: transcript retrieval, video downloading, and automatic subtitle generation using AI speech-to-text. Works with YouTube, Bilibili, Vimeo, and any platform supported by yt-dlp.
Enables agents to convert videos from URLs, Bilibili, and netdisk shares into Word documents, with tools for transcription, job management, and account configuration.
Provides YouTube video transcripts (text and metadata) as MCP tools for AI hosts like Claude Code, enabling summarization, search, and Q&A without watching the video.
Enables agents to turn Bilibili course videos into structured VitePress study notes by extracting subtitles, generating organized notes with key points and active recall, and saving them locally. It also supports video search and metadata retrieval through MCP tools.
