diff --git a/tests/helpers.py b/tests/helpers.py
new file mode 100644
index 0000000..679abb4
--- /dev/null
+++ b/tests/helpers.py
@@ -0,0 +1,28 @@
+import os
+
+TESTDATA = os.path.join(os.path.dirname(__file__), 'testdata')
+
+
+class Settings(dict):
+    def getint(self, key):
+        return int(self.get(key))
+
+    def getfloat(self, key):
+        return float(self.get(key))
+
+    @classmethod
+    def with_defaults(cls):
+        settings = {
+            'OVERLAP': 0.0,
+            'LATITUDE': 50,
+            'LONGITUDE': 5,
+            'CONFIDENCE': 0.7,
+            'DATABASE_LANG': 'en',
+            'PRIVACY_THRESHOLD': 0,
+            'EXTRACTION_LENGTH': 6,
+            'MODEL': 'BirdNET_GLOBAL_6K_V2.4_Model_FP16',
+            'DATA_MODEL_VERSION': 1,
+            'SENSITIVITY': 1.25,
+            'SF_THRESH': 0.003,
+        }
+        return cls(settings)
diff --git a/tests/test_server.py b/tests/test_server.py
new file mode 100644
index 0000000..8487f8a
--- /dev/null
+++ b/tests/test_server.py
@@ -0,0 +1,40 @@
+import os
+import unittest
+from unittest.mock import patch
+
+from scripts.server import run_analysis
+from scripts.utils.classes import ParseFileName
+from tests.helpers import TESTDATA, Settings
+
+
+class TestRunAnalysis(unittest.TestCase):
+
+    @patch('scripts.utils.helpers._load_settings')
+    @patch('scripts.server.loadCustomSpeciesList')
+    def test_run_analysis(self, mock_loadCustomSpeciesList, mock_load_settings):
+        # Mock the settings and species list
+        mock_load_settings.return_value = Settings.with_defaults()
+        mock_loadCustomSpeciesList.return_value = []
+
+        # Test file
+        test_file = ParseFileName(os.path.join(TESTDATA, '2024-02-24-birdnet-16:19:37.wav'))
+
+        # Expected results
+        expected_results = [
+            {"confidence": 0.912, 'sci_name': 'Pica pica'},
+            {"confidence": 0.9316, 'sci_name': 'Pica pica'},
+            {"confidence": 0.8857, 'sci_name': 'Pica pica'}
+        ]
+
+        # Run the analysis
+        detections = run_analysis(test_file)
+
+        # Assertions
+        self.assertEqual(len(detections), len(expected_results))
+        for det, expected in zip(detections, expected_results):
+            self.assertAlmostEqual(det.confidence, expected['confidence'], delta=1e-4)
+            self.assertEqual(det.scientific_name, expected['sci_name'])
+
+
+if __name__ == '__main__':
+    unittest.main()