Mcptube
Karpathy's LLM Wiki idea applied to YouTube videos
Details
- External ID
- 47754559
- Source
- HN
- Company
- —
- Product
- Mcptube
- Website domain
- github.com
- Launched
- April 13, 2026
- Cohort
- —
- Upvotes
- 13
- Upvotes percentile
- 0.6658097686375322
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
I watch a lot of Stanford/Berkeley lectures and YouTube content on AI agents, MCP, and security. Got tired of scrubbing through hour-long videos to find one explanation. Built v1 of mcptube a few months ago. It performs transcript search and implements Q&A as an MCP server. It got traction (34 stars, my first open-source PR, some notable stargazers like CEO of Trail of Bits).But v1 re-searched raw chunks from scratch every query. So I rebuilt it.v2 (mcptube-vision) follows Karpathy's LLM Wiki pattern. At ingest time, it extracts transcripts, detects scene changes with ffmpeg, describes key frames via a vision model, and writes structured wiki pages. Knowledge compounds across videos rather than being re-discovered. FTS5 + a two-stage agent (narrow then reason) for retrieval.MCPTube works both as CLI (BYOK) and MCP server. I tested MCPTube with Claude Code, Claude Desktop, VS Code Copilot, Cursor, and others. Zero API key needed server-side.Coming soon: I am also building SaaS platform. This platform supports playlist ingestion, team wikis, etc. I like to share early access signup: https://0xchamin.github.io/mcptube/Happy to discuss architecture tradeoffs — FTS5 vs vectors, file-based wiki vs DB, scene-change vs fixed-interval sampling. Give it a try via `pip install mcptube`. Also, please do star the repo if you enjoy my contribution (https://github.com/0xchamin/mcptube)
Enrichment
- Theme
- ai video creation and repurposing
- Vertical
- Media & entertainment
- Function
- Search & retrieval
- Audience
- B2C
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- searchable knowledge base from youtube videos
- Manually corrected
- False
Could you build this?
Yes An MCP server that fetches YouTube transcripts via existing libraries, embeds/indexes them, and exposes semantic search and Q&A tools can be vibe-coded in a weekend.
Discussion
3 comments analyzed.
Feature requests: summarize content video endpoint
Competitors
Other products that read as similar to this one — 42 launches clear the similarity bar, closest 8 shown.
Attention rank: #15 of 43 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 160 days after the earliest competitor.
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- LLM Wiki · hn · 2026-04-06 · 6 upvotes · similarity 0.39
- Mwe-MCP · hn · 2026-07-23 · 5 upvotes · similarity 0.38
- Colin, a context engine for keeping agent skills fresh · hn · 2026-01-26 · 7 upvotes · similarity 0.36
Other launches for this product
- No other launches for this product.