web-summaries-mcp
Fetches YouTube transcripts and enables semantic search within them using local embeddings, allowing an LLM to retrieve relevant passages with timestamps.
README
web-summaries-mcp
A Streamable HTTP MCP (Model Context Protocol) server that fetches YouTube transcripts and lets an LLM semantically search within them.
Tools
get_transcript— fetches the full transcript of a YouTube video, given a video ID or URL (watch,youtu.be,embed,shortslinks all work).search_transcript— semantically searches a transcript by meaning. Chunks the transcript, embeds each chunk and the query with a local sentence-embedding model (Xenova/bge-base-en-v1.5via@huggingface/transformers), and ranks chunks by cosine similarity (dot product on normalized vectors). Returns the top-k matching passages with timestamps.
Transcripts are fetched via YouTube's InnerTube API (the same one the YouTube Android app uses) and parsed from the caption track XML.
Setup
npm install
npm start
The server listens on http://localhost:8080/mcp (Streamable HTTP transport, stateless per the 2026-07-28 MCP spec — every request is self-contained, no session handshake).
Project layout
mcp_server.js— Express +@modelcontextprotocol/server/@modelcontextprotocol/node(MCP SDK v2) server, tool definitions, embedding/search logic. SeeMIGRATION.mdfor details on the v1→v2 migration.transcript_core.js— InnerTube fetch + transcript XML parsing, shared by the server and the CLI script.fetch_transcript.js— standalone CLI for downloading a transcript to a file.htmlroot/— static assets served alongside the MCP endpoint.
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