Ensure that you have an MS SQL Server instance running and accessible. You will also need a basic understanding of SQL and have administrative access to create databases and tables in SQL Server.

Open SQL Server Management Studio (SSMS) and connect to your SQL Server instance. Create a new database where you will store your JSON data. Define a table with appropriate columns to match the structure of your JSON file. You can use a CREATE TABLE statement specifying the data types that match the JSON structure.

Install Python on your system if it is not already installed. You will also need to install the `pandas` library for handling JSON data and `pyodbc` for connecting to SQL Server. You can install these using pip:
```
pip install pandas pyodbc
```

Write a Python script to read your JSON file. Use the pandas library to load the JSON data into a pandas DataFrame. Make sure the JSON file is properly formatted. Here's a basic example:
```python
import pandas as pd
# Read the JSON file
df = pd.read_json('path_to_your_json_file.json')
```

Use the `pyodbc` library to create a connection to your SQL Server. You will need to provide the server name, database name, and authentication details. Here is an example:
```python
import pyodbc
conn = pyodbc.connect(
'DRIVER={ODBC Driver 17 for SQL Server};'
'SERVER=your_server_name;'
'DATABASE=your_database_name;'
'UID=your_username;'
'PWD=your_password'
)
```

Use the DataFrame's `to_sql` method to insert the data into the SQL Server table. You may need to use SQLAlchemy to facilitate this, as pandas does not directly support pyodbc. Here’s an example:
```python
from sqlalchemy import create_engine
# Create a connection string
connection_string = 'mssql+pyodbc://your_username:your_password@your_server_name/your_database_name?driver=ODBC+Driver+17+for+SQL+Server'
engine = create_engine(connection_string)
# Insert the data into the SQL table
df.to_sql('your_table_name', engine, if_exists='append', index=False)
```

Once the data is inserted, go back to SQL Server Management Studio and run a SELECT query on your table to ensure that the data has been transferred correctly. This step is crucial to confirm that the data types and values are consistent with your expectations.
By following these steps, you can effectively move data from a JSON file to an MS SQL Server database without relying on third-party connectors or integrations.