---
title: "Reconstructed Slides: The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso"
category: "slides"
video_id: "Lcqat4iP_lE"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso

## Source Video
[The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso](https://www.youtube.com/watch?v=Lcqat4iP_lE)

## 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/Lcqat4iP_lE/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.13`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.89`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.01`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.53`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.35`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.38`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.93`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.94`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.23`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.38`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.42`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.9`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.31`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.99`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.58`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.86`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `contour` `[0, 24, 960, 515]` score `168.44`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.41`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.22`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.78`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.89`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.9`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.35`
![[assets/reconstructed-slides/Lcqat4iP_lE/slide-024.jpg]]

- Source frame: `slide-024.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.25`
## Dense Scene-Detected Slide Candidates
- [[youtube-Lcqat4iP_lE-dense-slides]]