
Increased Rails Recipe Output
Increases the recipe output of Rails.
Screenshots




About this Mod
Increases the recipe output of Rails.
normal Rails craft to 32 (vanilla is 16).
Powered Rails craft to 16 (vanilla is 6).
Detector Rails craft to 16 (vanilla is 6).
Activator Rails craft to 16 (vanilla is 6).
Available Versions
How to Install Increased Rails Recipe Output on Your Server
Order Server
Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).
Set datapack Loader
In the panel under "Egg", select the datapack loader and matching Minecraft version (26.1.2).
Install Mod
Open the mod browser in the dashboard and search for "Increased Rails Recipe Output". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.
Compatibility
Mod Loaders
Minecraft Versions
26.1.2, 26.1.1, 26.1 (+43 more)
Server-side
✓ RequiredRecommended RAM
4 GB(min. 3 GB)Frequently Asked Questions
Increased Rails Recipe Output server crashes on startup – what to do?
Most common cause: wrong datapack 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 (26.1.2). You can switch loaders with one click in the panel.
Is Increased Rails Recipe Output compatible with datapack and fabric and forge and neoforge and quilt?
Increased Rails Recipe Output officially supports datapack, fabric, forge, neoforge, quilt for Minecraft 26.1.2, 26.1.1, 26.1. Note: Forge and Fabric mods are NOT cross-compatible – pick one loader and stick with it. The Mado dashboard automatically detects incompatible loader combinations.
Server lagging with Increased Rails Recipe Output – how to optimize performance?
Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Increased Rails Recipe Output 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.
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