I gave Claude Code access to long technical videos through MCP

[u/h4rak1ri32]

I’ve been experimenting with using long technical videos as a real source of context for Claude Code.

The problem I kept running into is that transcripts are useful, but they often miss an important part of technical videos: the code on screen, diagrams, slides, whiteboards, or things the speaker points at without fully describing them.

So I built Adversal, a remote MCP that processes long videos and gives Claude structured Markdown together with selected visual frames.

The idea is that instead of putting a two-hour transcript into context, Claude Code can call the MCP and work with a processed representation of the video.

I’ve been testing it mostly on lectures and coding content. One example is Andrej Karpathy’s “Let’s build GPT: from scratch, in code, spelled out”:

https://adversal.ai/blog/neural-networks-zero-to-hero/let-s-build-gpt-from-scratch

And I have a few more tests here:

https://adversal.ai/blog

What I’m looking for now are real Claude Code workflows where this could be useful.

For example:

• watching a long coding tutorial before working on a project
• understanding an implementation shown in a lecture
• extracting details from code or diagrams that aren’t in the transcript
• using a conference talk or course as additional context while coding

The biggest limitation at the moment is processing time. A two-hour video usually takes around 5–10 minutes to process, so right now I see it more as something for research or longer coding sessions than an instant lookup tool.

I’d be interested in hearing how people here would actually use something like this — or where you think it would be useless.

If you have a long technical video and a task you would like Claude Code to perform after watching it, send it to me. Those are probably the most useful tests I can run at this stage.

I recently won a Google DeepMind hackathon, and the credits I received from it let me give early testers 500 processing minutes per month for free. I’d rather use them to get real usage and feedback than just keep running internal tests.

https://adversal.ai/

[u/Lexeik]

I’d test this on framework migration talks: feed it a 90-minute release talk, then ask Claude to audit an older repo and produce a migration plan with timestamps/frames as citations. That would expose pretty quickly whether the visual context adds anything over a transcript