Memcache and Memcached are the same thing, the "correct name" being Memcached ( http://memcached.org/ ).
JCache is the name of a standard Java API (JSR 107 - https://jcp.org/en/jsr/detail?id=107 ) that provides a generic API to interact with caching layer/solutions. (get/set/remove data from a Key/Value cache to simplify)
So you really want to use a caching layer at the top of MongoDB in your Java application you have to:
Install Memcached somewhere on your infrastructure (if not install already, you can test it quickly with telnet. The default port is 11211, so you can run telnet localhost 11211 to see if it is working.
You have to use a JCache implementation for Memcached, for example this one: https://github.com/toelen/spymemcached-jcache This will allow you to store and get data into a Memcached process running somwhere in your infrastructure.
Since you are talking about JCache, you are Using Java, it is also possible to use Java based cache that will work in your JVM Directly without having a 3rd party cache/process (memcached). You can find many of them, it could be for example eHCache, JBoss Cache, and most of them expose their API using the standard JCache API.
Now you need to code your Data Access layer to get the data out of MongoDB and set them into the Cache using JCache API. IN this code you will have to check if a data is in the cache, if not query the data from MongoDB, and set it in the cache and use it. Be careful about the eviction strategy.
This document about using JCache in Google App Engine documentation is interesting to see the "pseudo code" https://developers.google.com/appengine/docs/java/memcache/usingjcache (your code will be different but it should help you to see what you have to do in your code.)
The reason why you often see Memcached and PHP together is just because Memcached is the most common caching layer for PHP application, with many many API/FWK that are using this. In Java we have many options, from a pure Java layer to Memcached or other...
However, this is the "overall" approach, but before doing this I would check "why" you are saying that MongoDB is slow, and solve the issue.