Upload mcp_remote_daily_job.py with huggingface_hub

mcp_remote_daily_job.py

@@ -3,6 +3,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "datasets",
+#     "huggingface_hub",
 # ]
 # ///
 
@@ -17,18 +18,27 @@ Usage:
 """
 
 import sys
+import os
 import re
 from datetime import datetime
 from collections import defaultdict
 from datasets import load_dataset
+from huggingface_hub import login
 
 
 def main():
-    # Don't pass token explicitly - let datasets library pick it up from HF_TOKEN env var
+    # Get HF_TOKEN from environment
+    hf_token = os.environ.get("HF_TOKEN")
+
+    if hf_token:
+        # Login to huggingface_hub for private dataset access
+        login(token=hf_token)
+        print(f"[{datetime.now().isoformat()}] Authenticated to Hugging Face", file=sys.stderr)
+
     print(f"[{datetime.now().isoformat()}] Loading dataset from evalstate/hf-mcp-logs...", file=sys.stderr)
 
     # Load the source dataset (streaming for large datasets)
-    # The HF_TOKEN is passed as a secret and will be picked up automatically
+    # Login sets up authentication for datasets library
     ds = load_dataset('evalstate/hf-mcp-logs', 'sessions', streaming=True)
     sessions_ds = ds['sessions']