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


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Authenticate Toggl Track
Now, click the Toggl Track node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Toggl Track settings. Authentication allows you to use Toggl Track through Latenode.
Configure the Microsoft SQL Server and Toggl Track 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 Toggl Track 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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AI Anthropic Claude 3
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Toggl Track
Trigger on Webhook
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Microsoft SQL Server
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Webhook response


Save and Activate the Scenario
After configuring Microsoft SQL Server, Toggl Track, 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 Toggl Track integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Toggl Track (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 Toggl Track
Toggl Track + Microsoft SQL Server + Slack: When a new time event is recorded in Toggl Track, the automation retrieves project budget information from Microsoft SQL Server. If the tracked time exceeds the budget, a Slack message is sent to the project manager.
Toggl Track + Google Sheets + Microsoft SQL Server: This automation captures new time entries from Toggl Track and logs them into a Google Sheet. Subsequently, it updates the corresponding project status in Microsoft SQL Server.
Microsoft SQL Server and Toggl Track 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 Toggl Track
Track time in Toggl Track, then use Latenode to automatically log hours to project management tools or generate invoices. Pull Toggl Track data into reports and dashboards, or trigger notifications based on time entries. Automate billing and project tracking; build custom flows around your Toggl Track data.
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See how Latenode works
FAQ Microsoft SQL Server and Toggl Track
How can I connect my Microsoft SQL Server account to Toggl Track using Latenode?
To connect your Microsoft SQL Server account to Toggl Track 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 Toggl Track accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track project hours against SQL database records?
Yes, you can! Latenode lets you automate time tracking entries based on database events, updating your Toggl Track projects directly. Visualize time spent per project, directly from your SQL data.
What types of tasks can I perform by integrating Microsoft SQL Server with Toggl Track?
Integrating Microsoft SQL Server with Toggl Track allows you to perform various tasks, including:
- Automatically log Toggl Track time entries based on SQL Server updates.
- Generate reports in Microsoft SQL Server based on Toggl Track time data.
- Sync project details between Microsoft SQL Server and Toggl Track.
- Trigger notifications based on combined Microsoft SQL Server and Toggl Track data.
- Create custom dashboards displaying time tracking and database metrics.
How secure is connecting my Microsoft SQL Server database to Latenode?
Latenode employs encryption and secure authentication protocols to protect your data. You control the level of access granted during the connection process.
Are there any limitations to the Microsoft SQL Server and Toggl Track integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require JavaScript code blocks for advanced data manipulation.
- Real-time synchronization depends on polling intervals, which can introduce minor delays.
- The number of tasks executable per month depends on your Latenode subscription plan.