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Connect to Microsoft SQL Server

Connecting MindsDB to your Microsoft SQL Server can be done in two ways:

Install MindsDB

If you want to use Microsoft SQL Server integration, you will need to install MindsDB with pip or from source. The reason for this is that you will need to install additonal requirements:

pip3 install 'pymssql >= 2.1.4' --upgrade


To connect to your Microsoft SQL Server from MindsDB, you will need to install Microsoft OLEDB Provider driver.

How to install

MindsDB Studio

Using MindsDB Studio, you can connect to the Microsoft SQL Server with a few clicks.

Connect to database

  1. From the left navigation menu, select Database Integration.
  2. Click on the ADD DATABASE button.
  3. In the Connect to Database modal window:
    1. Select Microsoft SQL Server as the Supported Database.
    2. Add the Database name.
    3. Add the Hostname.
    4. Add Port.
    5. Add SQL Server user.
    6. Add Password for SQL Server user.
    7. Click on CONNECT.

Connect to MSSQL

Create new Datasource

  1. Click on the NEW DATASOURCE button.
  2. In the Datasource from DB integration modal window:
    1. Add Datasource Name.
    2. Add Database name.
    3. Add SELECT Query (e.g. SELECT * FROM my_database)
    4. Click on CREATE.

Create MSSQL Datasource

That's it 🎉 🏆 💻

You have successfully connected to Microsoft SQL Server from MindsDB Studio. The next step is to train the Machine Learning model.

MSSQL client

How to extend MindsDB configuration

Our suggestion is to always use MindsDB Studio to connect MindsDB to your database. If you still want to extend the configuration without using MindsDB Studio follow the steps below.

Before using mssql-cli or any SQL client to connect MindsDB and Microsoft SQL Server, you will need to add additional configuration before starting MindsDB Server. Create a new config.json file. Expand the example below to preview the configuration example.

Configuration example
   "api": {
       "http": {
           "host": "",
           "port": "47334"
       "mysql": {
           "host": "",
           "database": "mindsdb",
           "password": "123456",
           "port": "47335",
           "ssl": true,
           "user": "root"
   "config_version": "1.4",
   "debug": true,
   "integrations": {
       "default_mariadb": {
           "host": "localhost",
           "password": "pass",
           "port": 1433,
           "publish": true,
           "type": "mssql",
           "user": "sa"
   "log": {
       "level": {
           "console": "DEBUG",
           "file": "INFO"
   "storage_dir": "/storage"

All of the options that should be added to the config.json file are:

  • api['http'] -- This key is used for starting the MindsDB HTTP server by providing:
    • host(default - The mindsDB server address.
    • port(default 47334) - The mindsDB server port.
  • api['mysql'] -- This key is used for database integrations that work through MySQL protocol. The required keys are:
    • user(default root).
    • password(default 123456) - Required to have a password, since Microsoft SQL will use default user pass. This is the password for MindsDB MySQL API.
    • database - The name of the server that mindsdb will start.
    • ssl(default true) -- Use SSL true/false.
    • host(default
    • port(default 47335).
  • integrations['default_mssql'] -- This key specifies the integration type, in this case default_mssql. The required keys are:
    • user(default sa) - The Microsoft SQL Server user name.
    • host(default - Connect to the Microsoft SQL Server on the given host.
    • password - The password of the Microsoft SQL Server user.
    • type - Integration type(mariadb, postgresql, mysql, clickhouse, mongodb).
    • port(default 1433) - The TCP/IP port number to use for the connection.
    • publish(true|false) - Enable Microsoft SQL Server integration.
  • log['level'] -- The logging configuration(optional):
    • console - "INFO", "DEBUG", "ERROR".
    • file - Location of the log file.
  • storage_dir -- The directory where mindsDB will store models and configuration.

After creating the config.json file, you will need to start MindsDB and provide the path to the newly created config.json:

python3 -m mindsdb --api=http,mysql --config=config.json

The --api parameter specifies the type of API to use -- in this case HTTP and MySQL. The --config parameter specifies the location of the configuration file.

Start MindsDB with config

After starting the server, you can run a SELECT query from your SQL client to make sure integration has been successful. Please make sure to use exec or openquery as the examples bellow.

exec ('SELECT * FROM mindsdb.predictors') AT mindsdb_db;
Or, openquery:
select * from openquery(mindsdb, 'select * from mindsdb.predictors'); 

Note: mindsdb is the name of the api['mysql]['database'] key from config.json. The default name is mindsdb.

SELECT from MindsDB predictors table

That's it 🎉 🏆 💻

You have successfully connected MindsDB Server and Microsoft SQL Server. The next step is to train the Machine Learning model.