In this section, we present how to connect Email accounts to MindsDB.

By connecting your email account to MindsDB, you can utilize various AI models available within MindsDB to summarize emails, detect spam, or even automate email replies.

Please note that currently you can connect Gmail and Outlook accounts using this integration.

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Connection

This handler was implemented using standard Python libraries: email, imaplib, and smtplib.

The Email handler is initialized with the following required parameters:

  • email stores an email address used for authentication.
  • password stores a password used for authentication.

Additionally, the following optional parameters can be passed:

  • smtp_server used to send emails. Defaults to smtp.gmail.com.
  • smtp_port used to send emails. Defaults to 587.
  • imap_server used to receive emails. Defaults to imap.gmail.com.

At the moment, the handler has been tested with Gmail and Outlook accounts.

To use the handler on a Gmail account, you must create an app password following this instruction and use its value for the password parameter.

By default, the Email handler connects to Gmail. If you want to use other email providers as Outlook, add the values for imap_server and smtp_server parameters.

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Gmail

To connect your Gmail account to MindsDB, use the below CREATE DATABASE statement:

CREATE DATABASE email_datasource
WITH ENGINE = 'email',
PARAMETERS = {
  "email": "youremail@gmail.com",
  "password": "yourpassword"
};

It creates a database that comes with the emails table.

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Outlook

To connect your Outlook account to MindsDB, use the below CREATE DATABASE statement:

CREATE DATABASE email_datasource
WITH ENGINE = 'email',
PARAMETERS = {
  "email": "youremail@outlook.com",
  "password": "yourpassword",
  "smtp_server": "smtp.office365.com", 
  "smtp_port": "587", 
  "imap_server": "outlook.office365.com" 
};

It creates a database that comes with the emails table.

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Usage

Now you can query for emails like this:

SELECT *
FROM email_datasource.emails;

And you can apply filters like this:

SELECT id, body, subject, to_field, from_field, datetime
FROM email_datasource.emails
WHERE subject = 'MindsDB'
ORDER BY id
LIMIT 5;

Or, write emails like this:

INSERT INTO email_datasource.emails(to_field, subject, body)
VALUES ("toemail@outlook.com", "MindsDB", "Hello from MindsDB!");