Integrate MySQL Data into Automated Tasks with Power Automate

Microsoft Power Automate is an online service that automates events (known as workflows) across the most common apps and services. When paired with CData Connect AI, you get instant, cloud-to-cloud access to MySQL data for visualizations, dashboards, and more. This article shows how to connect to Connect AI from Power Automate and integrate live MySQL data into your workflows and tasks.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for MySQL, allowing you to easily integrate with live MySQL data in Power Automate — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to MySQL, leveraging server-side processing to quickly return MySQL data.

Configure MySQL Connectivity for Power Automate

Connectivity to MySQL from Power Automate is made possible through CData Connect AI. To work with MySQL data from Power Automate, we start by creating and configuring a MySQL connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "MySQL" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to MySQL.

   The CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

   SSH Connectivity for MySQL

   You can use SSH (Secure Shell) to authenticate with MySQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

   SSH Connections to MySQL in Password Auth Mode

   To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

   • User: MySQL User name
   • Password: MySQL Password
   • Database: MySQL database name
   • Server: MySQL Server name
   • Port: MySQL port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to MySQL in Public Key Auth Mode

   To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

   • User: MySQL User name
   • Password: MySQL Password
   • Database: MySQL database name
   • Server: MySQL Server name
   • Port: MySQL port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add MySQL Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to MySQL data from Power Automate.

Connecting to CData Connect AI

To use Connect AI to integrate MySQL data into your Power Automate tasks, you need a new SQL Server connection:

1. Log in to Power Automate
2. Click Data -> Connections -> New connection
3. Select SQL Server 👁 Creating a new SQL Server Connection
   
4. In the connection wizard:
   
   
   • Choose to connect directly
   • Set SQL server name to tds.cdata.com,14333
   • Set SQL database name to the name of the MySQL connection (e.g. MySQL1)
   • Set Username to a Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the above user
   • Click Create 👁 Connecting to Connect AI
     

Integrating MySQL Data into Power Automate Tasks

With the connection to Connect AI configured, you are ready to integrate live MySQL data into your Power Automate tasks.

1. Log in to Power Automate
2. Click My flows -> New flow and choose to create the flow from blank or template
3. Add (or configure) a SQL Server action (like Get rows) and configure the action to connect to your Connect AI connection
4. Select a Table to work with (from the drop-down menu) and configure any advanced options (like filters, orders, etc) 👁 Getting MySQL "Rows"
   
5. Configure any actions to follow and test, then save the flow

SQL Access to MySQL Data from Cloud Applications

Now you have a direct connection to live MySQL data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating MySQL data.

To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.

Related Power Automate Articles

This article explains how to use CData Connect AI with Power Automate (Online). Check out our other articles for more ways to work with Power Automate Desktop:

• MySQL Data in Power Automate Desktop using CData Connect
• MySQL Data in Power Automate Desktop via ODBC