---
title: "Reconstructed Slides: MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps"
category: "slides"
video_id: "o-zkvb0iFDQ"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps

## Source Video
[MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps](https://www.youtube.com/watch?v=o-zkvb0iFDQ)

## Method
This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

## Reconstructed Slides
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.8`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.24`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.04`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.25`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.3`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.29`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.5`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.16`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.81`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.44`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.95`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.77`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.82`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.94`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.36`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.94`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.78`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.22`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.48`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.14`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.54`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.72`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.11`
![[assets/reconstructed-slides/o-zkvb0iFDQ/slide-024.jpg]]

- Source frame: `slide-024.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.64`
## Dense Scene-Detected Slide Candidates
- [[youtube-o-zkvb0iFDQ-dense-slides]]