The ngff-zarr-mcp Model Context Protocol (MCP) server converts datasets to the OME-Zarr scientific imaging data format, optimizes the compression codec, ensures a limited number of files are generated, and creates a Python script for re-use.
ngff-zarr-mcp
For more information, see ngff-zarr.
Convert LIDCFull.tif to OME-Zarr
Find the optimal codec to use for this data.
Use sharding to keep the number of files under 20.
Create a Python script to convert all files in a provided input directory to a provided output directory. Use the codec we found to be optimal.
https://asciinema.org/a/726628
Append ?t=30 to start the playback at 30s, ?t=3:20 to start the playback at 3m 20s.
?t=30
?t=3:20
See sharing docs for more link customization options.
Use snippets below to display a preview image linking to this recording. Ideal for places where scripts are not allowed, such as project README files.
HTML:
<a href="https://asciinema.org/a/726628" target="_blank"><img src="https://asciinema.org/a/726628.svg" /></a>
Markdown:
[](https://asciinema.org/a/726628)
If you're embedding on your own page or on a site which permits script tags, you can use the full player widget:
<script src="https://asciinema.org/a/726628.js" id="asciicast-726628" async="true"></script>
Paste the above script tag where you want the player to be displayed on your page.
See embedding docs for more player customization options.
You can download this recording in asciicast v2 format, as a .cast file.
You can replay the downloaded recording in your terminal using the asciinema play command:
asciinema play
asciinema play 726628.cast
If you don't have asciinema CLI installed then see installation instructions.
Download asciinema player from the releases page (you only need .js and .css file), then use it like this:
.js
.css
<!DOCTYPE html> <html> <head> <link rel="stylesheet" type="text/css" href="/assets/asciinema-player.css" /> </head> <body> <div id="player"></div> <script src="/assets/asciinema-player.min.js"></script> <script> AsciinemaPlayer.create( '/assets/726628.cast', document.getElementById('player'), { cols: 83, rows: 34 } ); </script> </body> </html>
See asciinema player quick-start guide for full usage instructions.
While this site doesn't provide GIF conversion at the moment, you can still do it yourself with the help of asciinema GIF generator utility - agg.
Once you have it installed, generate a GIF with the following command:
agg https://asciinema.org/a/726628 demo.gif
Or, if you already downloaded the recording file:
agg demo.cast demo.gif
Check agg --help for all available options. You can change font family and size, select color theme, adjust speed and more.
agg --help
See agg manual for full usage instructions.
