diff --git a/admin/unmute_all_datasets.py b/admin/unmute_all_datasets.py
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+++ b/admin/unmute_all_datasets.py
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+#####
+# About:
+#   This script is indended to be used to UNMUTE ALL currently muted datasets within a specified warehouse
+# Instructions:
+#   1. Run this script, input your API Key ID, Token (generated in Settings -> API within MC UI)
+#   2. If applicable, copy/paste the UUID of the warehouse you would like to target to unmute datasets
+#      Note: the script must be run for one warehouse at a time, run multiple times for multiple warehouses
+#   3. Review the list of datasets to be unmuted in the .csv file provided by the prompt
+#      RECOMMENDATION:  Keep this CSV file as a means to audit which datasets were unmuted by this script
+#   4. Proceed to unmute the list of datasets
+#####
+
+from pycarlo.core import Client, Query, Session
+import csv
+import json
+from typing import Optional
+from datetime import datetime
+
+def getWarehouses(mcdId,mcdToken):
+	client=Client(session=Session(mcd_id=mcdId,mcd_token=mcdToken))
+	warehousesQuery = """
+		query getUser {
+			getUser {
+				account {
+					warehouses {
+						name
+						connectionType
+						uuid
+					}
+				}
+			}
+			}
+		"""
+
+	warehouses=client(warehousesQuery).get_user.account.warehouses
+
+	if len(warehouses) == 1:
+		print(f"Found one warehouse - Name: {warehouses[0].name} - UUID: {warehouses[0].uuid}")
+		return warehouses[0].uuid
+	elif len(warehouses) > 1:
+		print("Found multiple warehouses... ")
+		for val in warehouses:
+			print("Name: " + val.name + ", Connection Type: " + val.connection_type + ", UUID: " + val.uuid)
+		dwId = input("Please copy/paste the full UUID of the warehouse you would like to target: ")
+		return dwId
+
+def get_dataset_query(dwId,first: Optional[int] = 1000, after: Optional[str] = None) -> Query:
+	query = Query()
+	get_datasets = query.get_datasets(first=first, dw_id=dwId, **(dict(after=after) if after else {}))
+	get_datasets.edges.node.__fields__("dataset","uuid","is_muted")
+	get_datasets.page_info.__fields__(end_cursor=True)
+	get_datasets.page_info.__fields__("has_next_page")
+	return query
+
+def getDatasetUuidDict(mcdId,mcdToken,dwId):
+	client=Client(session=Session(mcd_id=mcdId,mcd_token=mcdToken))
+	dataset_uuid_dict={}
+	next_token=None
+	while True:
+		response = client(get_dataset_query(dwId=dwId,after=next_token)).get_datasets
+		for dataset in response.edges:
+			if dataset.node.is_muted:
+				dataset_uuid_dict[dataset.node.dataset.lower()] = dataset.node.uuid
+		if response.page_info.has_next_page:
+			next_token = response.page_info.end_cursor
+		else:
+			break
+	return dataset_uuid_dict
+
+def get_date():
+	return datetime.today().strftime('%Y-%m-%d_%H_%M_%S')
+
+def userReview(uuid_dict, dw_id):
+	if not uuid_dict:
+		print(f"No muted datasets found in selected warehouse id {dw_id}.  Exiting")
+		quit()
+
+	fname = f"datasets_to_mute_{get_date()}.csv"
+	header = ['dataset', 'uuid']
+	with open(fname, 'w') as csvfile:
+		writer = csv.writer(csvfile)
+		writer.writerow(header)
+		for dataset, uuid in uuid_dict.items():
+			writer.writerow([dataset, uuid])
+	userReview = input(f'Datasets to unmute written to file {fname} for your review. OK to proceed? (y/n) ').lower()
+
+	if userReview == 'y':
+		return
+	else:
+		print("Acknowledged do not proceed. Exiting.")
+		quit()
+
+def generateVarsInput(uuid_list):
+	vars_input = {
+			"input": {
+				"datasets": uuid_list,
+				"mute": False
+				}
+			}
+	return vars_input
+
+def unmute_datasets(mcdId,dwId,mcdToken,uuidDict):
+	client=Client(session=Session(mcd_id=mcdId,mcd_token=mcdToken))
+	uuid_list=[]
+	unmute_datasets_query = """
+		mutation toggleMuteDatasets($input: ToggleMuteDatasetsInput!) {
+			toggleMuteDatasets(input: $input) {
+				muted {
+				uuid
+				isMuted
+				}
+			}
+			}
+		"""
+
+	unmuted_dataset_counter = 0
+	incremental_datasets = 0
+	for uuid in uuidDict.values():
+		temp_obj=dict(dsId=uuid, dwId=dwId)
+		print(temp_obj)
+		uuid_list.append(temp_obj)
+		unmuted_dataset_counter += 1
+		incremental_datasets += 1
+		if incremental_datasets == 99:
+			vars_input = generateVarsInput(uuid_list)
+			print(client(unmute_datasets_query, variables=vars_input))
+			uuid_list.clear()
+			incremental_datasets = 0
+	if incremental_datasets > 0:
+		vars_input = generateVarsInput(uuid_list)
+		print(client(unmute_datasets_query, variables=vars_input))
+	print("Successfully Unmuted " + str(unmuted_dataset_counter) + " Datasets")
+
+if __name__ == '__main__':
+	#-------------------INPUT VARIABLES---------------------
+	mcd_id = input("MCD ID: ")
+	mcd_token = input("MCD Token: ")
+	#-------------------------------------------------------
+	print("Getting warehouses...")
+	dw_id = getWarehouses(mcd_id, mcd_token)
+	print("Getting datasets...")
+	uuid_dict = getDatasetUuidDict(mcd_id,mcd_token,dw_id)
+	userReview(uuid_dict, dw_id)
+	unmute_datasets(mcd_id,dw_id,mcd_token,uuid_dict)
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