Start by exporting the data from your MongoDB database into a format that can be processed easily. You can use the `mongoexport` tool, which is part of the MongoDB suite of tools. Run the following command in your terminal or command prompt, replacing the placeholders with your specific MongoDB details:
```
mongoexport --db yourDatabase --collection yourCollection --out yourData.json
```
This command will export your data into a JSON file named `yourData.json`.

MongoDB exports data in JSON format, which is not directly compatible with SQL Server. Convert the JSON file to a CSV format using a script or a command-line tool like `jq`. Here's a basic example using Python:
```python
import json
import csv
# Load JSON data
with open('yourData.json', 'r') as json_file:
data = json.load(json_file)
# Open a file for CSV output
with open('yourData.csv', 'w', newline='') as csv_file:
csv_writer = csv.writer(csv_file)
# Write the header
csv_writer.writerow(data[0].keys())
# Write the data
for row in data:
csv_writer.writerow(row.values())
```
This script will generate a `yourData.csv` file.

Ensure your MS SQL Server is ready to receive the data. Create a new database and table structure that matches the data you're importing. Use SQL Server Management Studio (SSMS) or a similar tool to define your tables. For example:
```sql
CREATE TABLE YourTableName (
Column1 DataType,
Column2 DataType,
...
);
```

Use the `BULK INSERT` command in MS SQL Server to import the CSV data. You can perform this operation using SSMS. Here's an example SQL command:
```sql
BULK INSERT YourTableName
FROM 'C:\path\to\yourData.csv'
WITH (
FIELDTERMINATOR = ',',
ROWTERMINATOR = '\n',
FIRSTROW = 2
);
```
Adjust the file path and options as necessary for your particular dataset and environment.

After loading the data, it's crucial to verify that the import was successful and all data was transferred correctly. Run queries against your new SQL Server table to check for the expected number of records and ensure that key fields have been populated as expected:
```sql
SELECT COUNT(*) FROM YourTableName;
```

During the import process, some data types might not align perfectly between MongoDB and MS SQL Server. Check and adjust these data types as necessary:
```sql
ALTER TABLE YourTableName
ALTER COLUMN ColumnName NewDataType;
```
Ensure that all necessary conversions maintain data integrity and precision.

If you need to repeat this process periodically, consider setting up a scheduled task that automates the export, transformation, and import process. Use Windows Task Scheduler or a cron job (on Linux) to execute a script or batch file that performs these steps automatically.
By following these steps, you can efficiently migrate data from MongoDB to MS SQL Server without relying on third-party connectors or integrations.