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To transfer data stored in JSON format to an MSSQL database and store it as variables, you can follow these steps:

1. Convert the JSON data to the MSSQL database format using a JSON to SQL converter tool or library.

2. Connect to the MSSQL database using a programming language that supports database connectivity, such as Java, Python, or C#.

3. Parse the converted SQL data into variables using the language-specific parsing methods provided by the database connector library.

4. Use SQL queries or database manipulation functions to insert the data into the desired tables and columns of the MSSQL database.

5. Close the database connection and handle any errors or exceptions that may occur during the data transfer process.

Here is an example code snippet in Python that demonstrates how to perform these steps:

import pyodbc
import json

# Convert JSON data to SQL format
json_data = '{"name": "John", "age": 25, "email": "john@example.com"}'
sql_data = json.loads(json_data)
insert_query = f"INSERT INTO users (name, age, email) VALUES ('{sql_data['name']}', {sql_data['age']}, '{sql_data['email']}')"

# Connect to MSSQL database
connection = pyodbc.connect('DRIVER={SQL Server};SERVER=localhost;DATABASE=mydb;UID=username;PWD=password')

# Parse SQL data into variables
cursor = connection.cursor()
cursor.execute(insert_query)
connection.commit()

# Close the database connection
connection.close()

In this example, we first convert the JSON data to SQL format using Python's built-in json library. We then define an INSERT query to insert the data into the users table of our MSSQL database.

We then use the pyodbc library to connect to the MSSQL database, execute the query, and commit the changes. Finally, we close the database connection to ensure that no resources are left open.

Note that this is just one way to transfer data from JSON to a database and that the specific implementation will depend on the particular use case, programming language, and database schema involved.