diff --git a/max_alert_logging/src/max_alert_logging/cli.py b/max_alert_logging/src/max_alert_logging/cli.py
new file mode 100644
index 0000000..25367f7
--- /dev/null
+++ b/max_alert_logging/src/max_alert_logging/cli.py
@@ -0,0 +1,86 @@
+import argparse
+import json
+import logging
+from pathlib import Path
+from typing import Any
+from max_alert_logging import core
+
+
+def main() -> None:
+    """CLI entry point for deduplicating Max-only alerts from log files."""
+    parser = argparse.ArgumentParser(description="Run Max-only Alert deduplication and logging.")
+    parser.add_argument("--input", required=True, help="Path to the input JSON file with log entries.")
+    parser.add_argument("--output", required=True, help="Path to the output JSON file for deduplicated alerts.")
+
+    args = parser.parse_args()
+
+    input_path = Path(args.input)
+    output_path = Path(args.output)
+
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(asctime)s [%(levelname)s] %(message)s",
+        datefmt="%Y-%m-%d %H:%M:%S",
+    )
+
+    if not input_path.exists() or not input_path.is_file():
+        logging.error(f"Input file not found: {input_path}")
+        raise FileNotFoundError(f"Input file not found: {input_path}")
+
+    with input_path.open("r", encoding="utf-8") as f:
+        try:
+            data: Any = json.load(f)
+        except json.JSONDecodeError as e:
+            logging.error(f"Invalid JSON format: {e}")
+            raise
+
+    if not isinstance(data, list):
+        logging.error("Input JSON must be a list of log entries.")
+        raise ValueError("Input JSON must be a list of log entries.")
+
+    deduped_entries = []
+    seen_keys = set()
+    
+    for entry in data:
+        if not isinstance(entry, dict):
+            logging.warning("Skipping invalid entry (not a dict).")
+            continue
+        required_fields = [
+            "corr_id", "stratum", "job_parallelism", "expires_at_dist_hours",
+            "t_gate_read", "t_index_visible", "retry_taken", "retry_total_overhead_ms",
+            "policy_hash", "setup_fingerprint"
+        ]
+        if not all(field in entry for field in required_fields):
+            logging.warning(f"Skipping incomplete entry: {entry}")
+            continue
+
+        key = (entry["corr_id"], entry["policy_hash"], entry["setup_fingerprint"])
+        if key in seen_keys:
+            continue
+        seen_keys.add(key)
+
+        success = core.log_alert(
+            corr_id=entry["corr_id"],
+            stratum=entry["stratum"],
+            job_parallelism=int(entry["job_parallelism"]),
+            expires_at_dist_hours=float(entry["expires_at_dist_hours"]),
+            t_gate_read=float(entry["t_gate_read"]),
+            t_index_visible=float(entry["t_index_visible"]),
+            retry_taken=int(entry["retry_taken"]),
+            retry_total_overhead_ms=float(entry["retry_total_overhead_ms"]),
+            policy_hash=str(entry["policy_hash"]),
+            setup_fingerprint=str(entry["setup_fingerprint"]),
+        )
+
+        if success:
+            deduped_entries.append(entry)
+
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    with output_path.open("w", encoding="utf-8") as f:
+        json.dump(deduped_entries, f, ensure_ascii=False, indent=2)
+
+    logging.info(f"Deduplicated {len(deduped_entries)} alerts written to {output_path}.")
+
+
+if __name__ == "__main__":
+    main()