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This is certainly possible. Firstly you would need to decide what Context key name to put them under. After you have decided, generally we use 

return_results(command_results)

where "command_results" is a CommandResults object (for which the documentation on how to use it is here

As an example (and assuming you have a scrip that has an argument input called "ips"):

# Get the arguments
args = demisto.args()
ips = args.get('ips')

# Check that the input is either an array or can be split
if not isinstance(ips, list):
    try:
        ips = ips.split(",")
    except Exception as err:
        return_error(f'The provided input was not an array or CSV data:\n\n{err}')

# How many IPs to break the array into
set_count = 10

# Create a temporary store for the sub-lists
return_data = []

# Iterate each set of <set_count> ips
while len(ips) > set_count:
    return_data.append(ips[0: (set_count)])
    [ips.pop(0) for x in range(set_count)]

# Add the remaining IPs as their own sized array
return_data.append(ips)

# Create the final returned data array
results = []

# Create an index for the set number
set_number = 0

# Iterate throught the arrays and place them into a suitable format
for item in return_data:
    results.append(
        {
            'set': set_number,
            'ips': item
        })
    set_number += 1

# Build the command results object
command_results = CommandResults(
    outputs_prefix='IPSets',
    outputs_key_field=['set'],
    outputs=results,
    readable_output=tableToMarkdown('IPs', results, ['set', 'ips'])
    )
    
# Return the command results object
return_results(command_results)

The result in the context is an array containing dictionaries. Each dictionary has a set number (to avoid duplicates) and the actual IPs.

I hope this helps.

Regards

Adam