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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.

Other launches for this product