A semantic search MCP server for YouTube transcripts using OpenAI embeddings and ChromaDB, enabling natural language queries to find conceptually similar content beyond keyword matching.
A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.
MCP server for turning YouTube channels into a queryable local knowledge base. Enables BM25 search and extractive Q&A over captions with timestamped citations.