Tree's Kebabs

Mod that adds kebab.

346 Downloads

forgefood

Rent Server with this Mod

Screenshots

About this Mod

Welcome to Tree's Kebabs, I made this mod for a friend that dared me to make a mod. It only adds kebab, thats it.

Items added:

Doner Kebab
Kebab Painting

You can make the Doner Kebab with:

1 tomato
1 cabbage leaf
1 bread
1 raw potato
1 cooked chicken

The Kebab Painting is just a painting of a small kebab.

For modpack makers, you can use this mod freely in your modpack.

You can see the recipe in photos.
Enjoy your meal!

Available Versions

Tree's Kebabs 1.1.0release

MC 1.20.1forge

July 29, 2024

How to Install Tree's Kebabs on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set forge Loader

In the panel under "Egg", select the forge loader and matching Minecraft version (1.20.1).

Install Mod

Open the mod browser in the dashboard and search for "Tree's Kebabs". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

forge

Minecraft Versions

1.20.1

Server-side

✓ Required

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Tree's Kebabs server crashes on startup – what to do?

Most common cause: wrong forge version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (1.20.1). You can switch loaders with one click in the panel.

Is Tree's Kebabs compatible with forge?

Tree's Kebabs officially supports forge for Minecraft 1.20.1. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Tree's Kebabs – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Tree's Kebabs consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.