---
title: "Reconstructed Slides: Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect"
category: "slides"
video_id: "96G7FLab8xc"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect

## Source Video
[Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect](https://www.youtube.com/watch?v=96G7FLab8xc)

## 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/96G7FLab8xc/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.87`
![[assets/reconstructed-slides/96G7FLab8xc/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.6`
![[assets/reconstructed-slides/96G7FLab8xc/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.79`
![[assets/reconstructed-slides/96G7FLab8xc/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.46`
![[assets/reconstructed-slides/96G7FLab8xc/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `155.88`
![[assets/reconstructed-slides/96G7FLab8xc/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.02`
![[assets/reconstructed-slides/96G7FLab8xc/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.47`
![[assets/reconstructed-slides/96G7FLab8xc/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.3`
![[assets/reconstructed-slides/96G7FLab8xc/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `155.84`
![[assets/reconstructed-slides/96G7FLab8xc/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.11`
![[assets/reconstructed-slides/96G7FLab8xc/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.52`
![[assets/reconstructed-slides/96G7FLab8xc/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `155.01`
![[assets/reconstructed-slides/96G7FLab8xc/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.07`
![[assets/reconstructed-slides/96G7FLab8xc/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.07`
![[assets/reconstructed-slides/96G7FLab8xc/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.55`
![[assets/reconstructed-slides/96G7FLab8xc/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `154.62`
![[assets/reconstructed-slides/96G7FLab8xc/slide-017.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.51`
![[assets/reconstructed-slides/96G7FLab8xc/slide-018.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `168.49`
![[assets/reconstructed-slides/96G7FLab8xc/slide-019.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.85`
![[assets/reconstructed-slides/96G7FLab8xc/slide-020.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.66`
## Dense Scene-Detected Slide Candidates
- [[youtube-96G7FLab8xc-dense-slides]]