How to connect Microsoft SQL Server and Moxie
Create a New Scenario to Connect Microsoft SQL Server and Moxie
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Moxie will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Moxie, 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 Moxie Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.


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Authenticate Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Configure the Microsoft SQL Server and Moxie 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 Moxie 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 donβt 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, Moxie, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Microsoft SQL Server and Moxie integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Moxie (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 Moxie
Microsoft SQL Server + Moxie + Slack: When a new or updated row indicating a critical error is logged in Microsoft SQL Server, Moxie creates a task for the support team. Slack then sends a notification to the support channel with details of the error and the newly created Moxie task.
Moxie + Microsoft SQL Server + PagerDuty: When Moxie logs a severe system incident (recorded by creating a new form submission) related to SQL Server, PagerDuty is triggered to alert on-call engineers.
Microsoft SQL Server and Moxie 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 Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
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See how Latenode works
FAQ Microsoft SQL Server and Moxie
How can I connect my Microsoft SQL Server account to Moxie using Latenode?
To connect your Microsoft SQL Server account to Moxie 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 Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update Moxie contact details from SQL data?
Yes, you can! Latenode's visual editor simplifies data syncing. Update Moxie contacts automatically whenever relevant data changes in Microsoft SQL Server, saving time and improving data accuracy.
What types of tasks can I perform by integrating Microsoft SQL Server with Moxie?
Integrating Microsoft SQL Server with Moxie allows you to perform various tasks, including:
- Automatically creating Moxie support tickets from SQL database alerts.
- Updating contact information in Moxie based on changes in SQL customer data.
- Triggering personalized Moxie messages based on SQL data analysis results.
- Logging Moxie support interactions directly into a Microsoft SQL Server database.
- Generating reports on customer support performance using SQL data and Moxie metrics.
How secure is Microsoft SQL Server data access in Latenode?
Latenode uses secure, encrypted connections for all data access. Access permissions are fully configurable, ensuring your Microsoft SQL Server data remains protected.
Are there any limitations to the Microsoft SQL Server and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require custom JavaScript blocks for optimal performance.
- High-volume data transfers may be subject to rate limits imposed by the Moxie API.
- Custom field mappings in Moxie require careful configuration to ensure data accuracy.