diff --git a/python/migrate_neo4j.py b/python/migrate_neo4j.py
new file mode 100644
index 000000000..d31bf7d0f
--- /dev/null
+++ b/python/migrate_neo4j.py
@@ -0,0 +1,195 @@
+from neo4j import GraphDatabase
+from neo4j.time import DateTime as Neo4jDateTime
+from neo4j.time import Date as Neo4jDate
+import json
+import mgp
+import re
+import threading
+from typing import Any, Dict
+
+
+class Constants:
+    BATCH_SIZE = 1000
+    COLUMN_NAMES = "column_names"
+    CONNECTION = "connection"
+    CURSOR = "cursor"
+    HOST = "host"
+    I_COLUMN_NAME = 0
+    PASSWORD = "password"
+    PORT = "port"
+    RESULT = "result"
+    USERNAME = "username"
+    SESSION = "session"
+    DRIVER = "driver"
+    DATABASE = "database"
+
+
+neo4j_dict = {}
+
+
+def _convert_neo4j_value(value):
+    """Convert Neo4j values to Python-compatible formats."""
+    if value is None:
+        return None
+    
+    # Handle Neo4j DateTime objects
+    try:
+        if isinstance(value, Neo4jDateTime) or isinstance(value, Neo4jDate):
+            return value.to_native()
+    except ImportError:
+        pass
+    
+    # Handle lists and dicts recursively
+    if isinstance(value, list):
+        return [_convert_neo4j_value(item) for item in value]
+    
+    if isinstance(value, dict):
+        return {key: _convert_neo4j_value(val) for key, val in value.items()}
+    
+    # For other types, return as is
+    return value
+
+
+def _convert_neo4j_record(record):
+    """Convert a Neo4j record to a Python dict with proper type conversion."""
+    return {key: _convert_neo4j_value(value) for key, value in record.items()}
+
+
+def _build_neo4j_uri(config: mgp.Map) -> str:
+    host = config.get(Constants.HOST, "localhost")
+    port = config.get(Constants.PORT, 7687)
+    return f"bolt://{host}:{port}"
+
+
+def init_migrate_neo4j(
+    label_or_rel_or_query: str,
+    config: mgp.Map,
+    config_path: str = "",
+    params: mgp.Nullable[mgp.Any] = None,
+):
+    global neo4j_dict
+
+    thread_id = threading.get_native_id()
+    if thread_id not in neo4j_dict:
+        neo4j_dict[thread_id] = {}
+
+    if len(config_path) > 0:
+        config = _combine_config(config=config, config_path=config_path)
+
+    uri = _build_neo4j_uri(config)
+    username = config.get(Constants.USERNAME, "neo4j")
+    password = config.get(Constants.PASSWORD, "password")
+    database = config.get(Constants.DATABASE, None)  # None means default database
+    
+    driver = GraphDatabase.driver(uri, auth=(username, password))
+    
+    # Create session with optional database parameter
+    if database:
+        session = driver.session(database=database)
+    else:
+        session = driver.session()
+        
+    query = _formulate_cypher_query(label_or_rel_or_query)
+    # Neo4j expects params to be a dict or None
+    cypher_params = params if params is not None else {}
+    result = session.run(query, parameters=cypher_params)
+
+    neo4j_dict[thread_id][Constants.DRIVER] = driver
+    neo4j_dict[thread_id][Constants.SESSION] = session
+    neo4j_dict[thread_id][Constants.RESULT] = result
+
+
+def neo4j(
+    label_or_rel_or_query: str,
+    config: mgp.Map,
+    config_path: str = "",
+    params: mgp.Nullable[mgp.Any] = None,
+) -> mgp.Record(row=mgp.Map):
+    """
+    Migrate data from Neo4j to Memgraph. Can migrate a specific node label, relationship type, or execute a custom Cypher query.
+
+    :param label_or_rel_or_query: Node label, relationship type, or a Cypher query
+    :param config: Connection configuration for Neo4j
+    :param config_path: Path to a JSON file containing connection parameters
+    :param params: Optional query parameters
+    :return: Stream of rows from Neo4j
+    """
+    global neo4j_dict
+
+    thread_id = threading.get_native_id()
+    result = neo4j_dict[thread_id][Constants.RESULT]
+
+    # Fetch up to BATCH_SIZE records
+    batch = []
+    for record in result:
+        # Convert neo4j.Record to dict with proper type conversion
+        batch.append(mgp.Record(row=_convert_neo4j_record(record)))
+        
+        # Check if we've reached the batch size limit
+        if len(batch) >= Constants.BATCH_SIZE:
+            break
+    
+    return batch
+
+
+def cleanup_migrate_neo4j():
+    global neo4j_dict
+
+    thread_id = threading.get_native_id()
+    session = neo4j_dict[thread_id].get(Constants.SESSION)
+    driver = neo4j_dict[thread_id].get(Constants.DRIVER)
+    if session:
+        session.close()
+    if driver:
+        driver.close()
+    neo4j_dict.pop(thread_id, None)
+
+
+mgp.add_batch_read_proc(neo4j, init_migrate_neo4j, cleanup_migrate_neo4j)
+
+
+def _formulate_cypher_query(label_or_rel_or_query: str) -> str:
+    words = label_or_rel_or_query.split()
+    if len(words) > 1:
+        return (
+            label_or_rel_or_query  # Treat it as a Cypher query if multiple words exist
+        )
+
+    # Try to see if the syntax matches similar to (:Label) to migrate only nodes
+    node_match = re.match(r"^\(\s*:(\w+)\s*\)$", label_or_rel_or_query)
+
+    # Try to see if the syntax matches similar to [:REL_TYPE] to migrate only relationships
+    rel_match = re.match(r"^\[\s*:(\w+)\s*\]$", label_or_rel_or_query)
+
+    if node_match:
+        label = node_match.group(1)
+        return (
+            f"MATCH (n:{label}) RETURN labels(n) as labels, properties(n) as properties"
+        )
+
+    if rel_match:
+        rel_type = rel_match.group(1)
+        return f"""
+    MATCH (n)-[r:{rel_type}]->(m)
+    RETURN
+        labels(n) as from_labels,
+        labels(m) as to_labels,
+        properties(n) as from_properties,
+        properties(r) as edge_properties,
+        properties(m) as to_properties
+    """
+    return label_or_rel_or_query  # Assume it's a valid query
+
+
+def _combine_config(config: mgp.Map, config_path: str) -> Dict[str, Any]:
+    assert len(config_path), "Path must not be empty"
+
+    file_config = None
+    try:
+        with open(config_path, "r") as file:
+            file_config = json.load(file)
+    except Exception:
+        raise OSError("Could not open/read file.")
+
+    config.update(file_config)
+    return config
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