How to connect Microsoft SQL Server and LiveChat
Create a New Scenario to Connect Microsoft SQL Server and LiveChat
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 LiveChat will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or LiveChat, 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 LiveChat Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select LiveChat from the list of available apps, and choose the action you need from the list of nodes within LiveChat.


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Authenticate LiveChat
Now, click the LiveChat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LiveChat settings. Authentication allows you to use LiveChat through Latenode.
Configure the Microsoft SQL Server and LiveChat 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 LiveChat 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, LiveChat, 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 LiveChat integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and LiveChat (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 LiveChat
LiveChat + Microsoft SQL Server + Slack: When a LiveChat transcript is deactivated, the details are logged into a Microsoft SQL Server database. A notification with key transcript details is then sent to a designated Slack channel.
LiveChat + Microsoft SQL Server + Jira: When a LiveChat thread is tagged (indicating urgency), a Jira ticket is automatically created. The ticket details, along with relevant LiveChat information, are then stored in a Microsoft SQL Server database for record-keeping.
Microsoft SQL Server and LiveChat 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 LiveChat
Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context – all visually, and without code.
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FAQ Microsoft SQL Server and LiveChat
How can I connect my Microsoft SQL Server account to LiveChat using Latenode?
To connect your Microsoft SQL Server account to LiveChat 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 LiveChat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update LiveChat from new SQL database entries?
Yes, you can! Latenode's visual editor makes this simple. Automatically notify LiveChat agents about new Microsoft SQL Server data for improved customer support and real-time updates.
What types of tasks can I perform by integrating Microsoft SQL Server with LiveChat?
Integrating Microsoft SQL Server with LiveChat allows you to perform various tasks, including:
- Create new LiveChat tickets from specific SQL Server database entries.
- Update existing customer profiles in LiveChat with data from SQL Server.
- Trigger LiveChat conversations based on SQL Server data thresholds.
- Log LiveChat transcripts and data into Microsoft SQL Server for analysis.
- Send personalized welcome messages via LiveChat using SQL Server data.
What data types does Microsoft SQL Server support on Latenode?
Latenode supports all standard Microsoft SQL Server data types. Leverage JavaScript nodes for complex transformations or custom logic.
Are there any limitations to the Microsoft SQL Server and LiveChat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from SQL Server might experience delays based on server load.
- Complex SQL queries require familiarity with SQL syntax.
- Custom LiveChat variables might need adjustments for optimal data mapping.