Modpack Toolkit

Automatic data & resource pack loading made easy.

Be In Control of mob spawns

A structure configuration mod that eliminates the need for datapacks. Spread out structures, prevent overlap, enforce flat terrain, customize size and biomes.

Use \wits to see the name of structures at where you are!

A biome placement mod focusing on configurability and consistent distribution of modded biomes

Allows to apply effects when entities engage combat, highly customizable with regex support.

With OEI, you can effortlessly replace duplicate items with a single designated representative item.

In-game advancement editing and improvements to the advancement screen!

Allows the loading of (Neo)Forge mods in the Fabric ecosystem. Very experimental.

A lightweight utility for recipe and tag manipulation via simple JSON configuration

Gives you full control over spawning mobs/spawners. Add custom AI to mobs, give them better weapons, and block burning in sunlight. You decide what your mobs do and when they can spawn!

A lightweight utility for completely removing items via simple JSON configuration.

Disable enchantments you don't like, and nerf enchanting in multiple ways with an extensive configuration. Supports both vanilla and modded enchantments.

Change the default components for items! Server-side and data-driven, refreshes on /reload! (and does it properly)

A lightweight utility for replacing one block with another, both during worldgen and afterward.

Fork of True Darkness made to have Biome Dependant Darkness and updated up to Forge 1.20.1 and Neoforge 1.21

Adds a quest system designed to make info conveyance in modpacks far more intuitive!

Limit the number of enchantments on an item.

Enhances darkness: moon phases affect night light, caves are pitch black

A worldgen configuration mod that eliminates the need for datapacks. Add, remove, replace, and tweak features and biomes.

Control mob spawning easily with advancements via datapack!

A mod that tweaks ore generation to spawn ores only in certain environmental conditions in a data-driven manner.