---
title: "Slides: Letting AI Interface with your App with MCP — Kent C Dodds"
category: "slides"
video_id: "EyZiAp0pelw"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Letting AI Interface with your App with MCP — Kent C Dodds

## Source Video
[Letting AI Interface with your App with MCP — Kent C Dodds](https://www.youtube.com/watch?v=EyZiAp0pelw)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/EyZiAp0pelw/slide-001.jpg]]

OCR text:

> Remix

![[assets/slides/EyZiAp0pelw/slide-002.jpg]]

OCR text:

> Let's wake up
> Your brain needs this 🧠

![[assets/slides/EyZiAp0pelw/slide-003.jpg]]

OCR text:

> 0:00 / 1:06

![[assets/slides/EyZiAp0pelw/slide-004.jpg]]

OCR text:

> :CESS
> ETECE
> DOVNLDAOGA/SEC
> VEPTRACE
> TRANSLATION
> ARCHIVI
> BESTCLIPS

![[assets/slides/EyZiAp0pelw/slide-005.jpg]]

OCR text:

> BESTCLIPS

![[assets/slides/EyZiAp0pelw/slide-006.jpg]]

OCR text:

> a EE at Ee cer oes een a
> 7 . 5 . ce: Oy
> a ' 7 on - ioe uO
> e f
> a
> s ; ; o
> z. ae
> , ne ;
> as mH os
> aay \ -
> a = e ae ae a
> es ad a
> \ cr 7
> re : + 7
> n 7 no
> Pe - ——
> aa Ea a
> ‘7 eng’ a
> a ant ORF

![[assets/slides/EyZiAp0pelw/slide-007.jpg]]

OCR text:

> 1:06 / 1:06

![[assets/slides/EyZiAp0pelw/slide-008.jpg]]

OCR text:

> *How's itgoing,Kent?
> Could you please write ajournalentry forme（me@kentcdodds.com]aboutmy trip
> withmy daughter?I would likeyou toderive my location andweatherconditionsfrom
> my device location and make upa creative story withrelevant tags.Thanks!
> Claude37Scenet
> <>Code
> Write
> Strategize
> Learn
> Lifestuff
> 88Connectapps

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.