diff --git a/src/spikeinterface/sorters/external/mountainsort5.py b/src/spikeinterface/sorters/external/mountainsort5.py
index 2fa860c148..cbd802b374 100644
--- a/src/spikeinterface/sorters/external/mountainsort5.py
+++ b/src/spikeinterface/sorters/external/mountainsort5.py
@@ -1,6 +1,8 @@
 from pathlib import Path
 from packaging.version import parse
 
+from tempfile import TemporaryDirectory
+
 import numpy as np
 
 from spikeinterface.preprocessing import bandpass_filter, whiten
@@ -39,6 +41,8 @@ class Mountainsort5Sorter(BaseSorter):
         "freq_max": 6000,
         "filter": True,
         "whiten": True,  # Important to do whitening
+        "temporary_base_dir": None,
+        "n_jobs_for_preprocessing": 1,
     }
 
     _params_description = {
@@ -62,6 +66,8 @@ class Mountainsort5Sorter(BaseSorter):
         "freq_max": "Low-pass filter cutoff frequency",
         "filter": "Enable or disable filter",
         "whiten": "Enable or disable whitening",
+        "temporary_base_dir": "Temporary directory base directory for storing cached recording",
+        "n_jobs_for_preprocessing": "Number of parallel jobs for creating the cached recording",
     }
 
     sorter_description = "MountainSort5 uses Isosplit clustering. It is an updated version of MountainSort4. See https://doi.org/10.1016/j.neuron.2017.08.030"
@@ -113,7 +119,7 @@ def _setup_recording(cls, recording, sorter_output_folder, params, verbose):
     @classmethod
     def _run_from_folder(cls, sorter_output_folder, params, verbose):
         import mountainsort5 as ms5
-        from mountainsort5.util import TemporaryDirectory, create_cached_recording
+        from mountainsort5.util import create_cached_recording
 
         recording = cls.load_recording_from_folder(sorter_output_folder.parent, with_warnings=False)
         if recording is None:
@@ -178,9 +184,11 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
             block_sorting_parameters=scheme2_sorting_parameters, block_duration_sec=p["scheme3_block_duration_sec"]
         )
 
-        with TemporaryDirectory() as tmpdir:
+        with TemporaryDirectory(dir=p["temporary_base_dir"]) as tmpdir:
             # cache the recording to a temporary directory for efficient reading (so we don't have to re-filter)
-            recording_cached = create_cached_recording(recording=recording, folder=tmpdir)
+            recording_cached = create_cached_recording(
+                recording=recording, folder=tmpdir, n_jobs=p["n_jobs_for_preprocessing"]
+            )
 
             scheme = p["scheme"]
             if scheme == "1":