Block Finder (X-Ray)

Overview

Block Finder is a Minecraft mod that lets you quickly find blocks in both singleplayer or multiplayer worlds. It comes with a custom menu that is easy to use and has many features to help you find what you need.

Usage

• Open menu: Press 'V' to open the Block Finder menu. If key is taken up, check your keybinds and assign a new one for this menu.
• Add blocks: Click on the dropdown widget and search for your wanted block. Select it to add to the active pool. Many can be added at a time.
• Configure scan settings: Click on one of your blocks and it should bring up a menu to edit scan radius from yourself, color, minimum Y-level, and maximum Y-level.
• Clear block: Click the red 'x' to remove that block from the active pool.
• Toggle Auto Scan: Updates the scanned blocks when the player starts moving.
• Toggle HUD: Shows a live update GUI of the amount of found blocks.
• Submit button: Click to start the scan.
• Clear All button: Click to remove all active pool blocks.
• Load/Save buttons: Import or export JSON for scan configurations.

Dependencies

Make sure to install Fabric API valid for the Fabric mod.

Features

• Highlights matching blocks with x-ray outlines visible through walls.
• Search for multiple block types in a single scan.
• Bypasses many server anti-cheats on most major servers.
• Customize scan radius and minimum/maximum Y-level for each tracked block.
• Assign a unique outline color to every tracked block.
• Quickly find blocks with block icons and friendly searchable dropdown.
• Performs scans on a separate thread to reduce gameplay stuttering.
• Has a live HUD giving counts of found blocks.
• Saves and loads configurations through JSON
• Works in both singleplayer and multiplayer.

Note to player: If you want to request me to make a release for a different Minecraft version, or if there are any issues, suggestions, please add them to the GitHub https://github.com/echen0719/block-finder/issues or https://forms.gle/61kErBg15YgW4steA so I can improve this mod (with a label please).

Credits

Author: @echen0719 (GitHub)