How to connect OpenPhone and Microsoft SQL Server
Create a New Scenario to Connect OpenPhone and Microsoft SQL Server
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 OpenPhone, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenPhone or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find OpenPhone or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the OpenPhone Node
Select the OpenPhone node from the app selection panel on the right.

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

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

Save and Activate the Scenario
After configuring OpenPhone, Microsoft SQL Server, 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 OpenPhone and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between OpenPhone and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenPhone and Microsoft SQL Server
OpenPhone + Microsoft SQL Server + Slack: When a new call event is registered in OpenPhone, the details are logged into a Microsoft SQL Server database. If the call is from a predefined important client, a notification is sent to a dedicated Slack channel.
Microsoft SQL Server + OpenPhone + Jira: When a new or updated row containing a critical error is registered in Microsoft SQL Server, a Jira ticket is created. Subsequently, a support team is alerted via OpenPhone with a text message containing the Jira ticket details.
OpenPhone and Microsoft SQL Server integration alternatives
About OpenPhone
Use OpenPhone in Latenode to automate SMS and call workflows. Log activities, trigger actions based on call outcomes, and sync data to CRMs. By using Latenode, you orchestrate OpenPhone within complex workflows, adding logic and integrations not available in OpenPhone alone. Scale customer communication using no-code tools and AI.
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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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FAQ OpenPhone and Microsoft SQL Server
How can I connect my OpenPhone account to Microsoft SQL Server using Latenode?
To connect your OpenPhone account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenPhone and click on "Connect".
- Authenticate your OpenPhone and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I log all OpenPhone calls to SQL Server?
Yes, you can! Latenode lets you log call details automatically, ensuring a complete record. Use no-code blocks or JavaScript for advanced data manipulation and reporting.
What types of tasks can I perform by integrating OpenPhone with Microsoft SQL Server?
Integrating OpenPhone with Microsoft SQL Server allows you to perform various tasks, including:
- Log all incoming and outgoing OpenPhone calls to a SQL Server database.
- Create new SQL Server records from OpenPhone missed calls.
- Update SQL Server contact details based on OpenPhone activity.
- Trigger OpenPhone SMS messages based on SQL Server data changes.
- Sync OpenPhone contacts with a SQL Server customer database.
Can I use JavaScript to enhance OpenPhone automations?
Yes, Latenode supports JavaScript. Customize OpenPhone workflows for unique logic, data transformations, and advanced error handling beyond no-code options.
Are there any limitations to the OpenPhone and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial setup requires familiarity with SQL Server database structure.
- High-volume data synchronization may require optimizing workflow efficiency.
- Advanced data transformations might necessitate JavaScript knowledge.