How to connect Microsoft SQL Server and Mailhook
Create a New Scenario to Connect Microsoft SQL Server and Mailhook
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft SQL Server, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft SQL Server or Mailhook will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Mailhook, and select the appropriate trigger to start the scenario.

Add the Microsoft SQL Server Node
Select the Microsoft SQL Server node from the app selection panel on the right.


Microsoft SQL Server

Configure the Microsoft SQL Server
Click on the Microsoft SQL Server node to configure it. You can modify the Microsoft SQL Server URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Mailhook Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Mailhook from the list of available apps, and choose the action you need from the list of nodes within Mailhook.


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Authenticate Mailhook
Now, click the Mailhook node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Mailhook settings. Authentication allows you to use Mailhook through Latenode.
Configure the Microsoft SQL Server and Mailhook Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft SQL Server and Mailhook Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Microsoft SQL Server, Mailhook, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Microsoft SQL Server and Mailhook integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Mailhook (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft SQL Server and Mailhook
Microsoft SQL Server + Mailhook + Slack: When a new or updated row is detected in Microsoft SQL Server, Mailhook triggers on the data received. This data is then formatted and sent as a message to a specified Slack channel.
Mailhook + Microsoft SQL Server + Google Sheets: Mailhook receives data, which is then used to insert a new row into a Microsoft SQL Server database. The details of the inserted row are subsequently logged into a Google Sheet for analysis and record-keeping.
Microsoft SQL Server and Mailhook integration alternatives

About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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About Mailhook
Use Mailhook in Latenode to instantly capture incoming emails and parse their contents into usable data. Trigger workflows on specific email events, like form submissions or order confirmations. Route parsed data to other apps, databases, or AI models for advanced processing. Automate email handling without code and scale as needed.
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See how Latenode works
FAQ Microsoft SQL Server and Mailhook
How can I connect my Microsoft SQL Server account to Mailhook using Latenode?
To connect your Microsoft SQL Server account to Mailhook on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SQL Server and click on "Connect".
- Authenticate your Microsoft SQL Server and Mailhook accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger emails upon specific database record updates?
Yes, with Latenode! Automatically send targeted emails via Mailhook when Microsoft SQL Server records change. Latenode's no-code logic handles complex conditions effortlessly, enhancing customer engagement.
What types of tasks can I perform by integrating Microsoft SQL Server with Mailhook?
Integrating Microsoft SQL Server with Mailhook allows you to perform various tasks, including:
- Sending welcome emails for new Microsoft SQL Server database entries.
- Alerting users when their Microsoft SQL Server data is updated.
- Creating email reports from Microsoft SQL Server database information.
- Sending transactional emails based on Microsoft SQL Server events.
- Creating email campaigns based on Microsoft SQL Server segments.
How secure is my Microsoft SQL Server data when using Latenode?
Latenode uses secure, encrypted connections and adheres to industry best practices to protect your Microsoft SQL Server data during all automations.
Are there any limitations to the Microsoft SQL Server and Mailhook integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Microsoft SQL Server datasets may require optimized queries for efficient processing.
- Rate limits of both Microsoft SQL Server and Mailhook can affect workflow execution speed.
- Complex data transformations might require custom JavaScript code.