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Epic Addons for Minecraft MCPE

Epic Addons for Minecraft MCPE

Cuong Huynh

Productivity免费v4.0
App Store
评分

4.6

6,750 条评分

星级

★★★★★

最近更新

2025年5月24日

发布日期

2021年6月27日

更新内容

v4.0

Fix bugs

应用信息

开发者
Cuong Huynh
分类
Productivity
价格
免费
版本
4.0
App ID
1573195753

简介

EPIC ADD-ONS, AMAZING MAPS, BEST SKINS, REALISTIC TEXTURES for MINECRAFT PE This app gives you: - Morph Mods: this app allowed you to morph into 30 mobs - Animal Collection - Anime Mods - Dragon & Dinosaur Addons - Furnitures for MCPE - Mutant Mods, Zombies Mods - Natural Mystic Shaders - Funicraft 3D Blocks, Lucky Blocks - Vehicle, Car Mods - Realistic Worlds - Horror Maps - More Tools Addon - 3D Skin Viewer Download and install the addon simply and quickly. Add-ons are updated daily. Note that your device needs to have MCPE installed first. Disclaimer: - This is not an official Minecraft product. It is not approved by or associated with Mojang. Subscription plans: - 3 days free trial then monthly subscription. - After 3 days free trial, this subscription will automatically auto-renew each month. + Payment will be charged to iTunes Account at confirmation of purchase. + You can manage your subscriptions and turn off auto-renewal from your Account Settings after the purchase. + Subscription automatically renews unless auto-renew is turned off at least 24 hours before the end of the current period. + Account will be charged for renewal within 24 hours prior to the end of the current period, and identify the cost of the renewal. + Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user's Account Settings after purchase. + Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable. Term of service: https://sites.google.com/view/cuonghuynhapp/terms-of-use Privacy policy: https://sites.google.com/view/cuonghuynhapp/privacy-policy

下载量预测

专业 · 预览

预估总下载量

675K450K1.4M
保守估计乐观估计

8K

低 / 月

11K

预估 / 月

23K

高 / 月

基于6,750 条评分
假设评分率1.0%
应用年龄59 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。