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


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


Save and Activate the Scenario
After configuring Microsoft SQL Server, Vapi, 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 Vapi integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Vapi (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 Vapi
Microsoft SQL Server + Slack: Monitors a Microsoft SQL Server database for new or updated rows. When a change is detected, a message is sent to a designated Slack channel, providing real-time alerts for critical data monitoring.
Vapi + Microsoft SQL Server + Google Sheets: When a Vapi call is created, the call details are logged to a Microsoft SQL Server database. A daily summary of these call details is then generated and added as a new row in a Google Sheet for reporting purposes.
Microsoft SQL Server and Vapi 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 Vapi
Use Vapi in Latenode to validate and standardize address data. Ensure accurate deliveries and prevent errors by cleaning addresses directly within your workflows. Vapi integration inside Latenode makes data cleaning repeatable and scalable without extra coding. Automate address verification as part of lead gen, order processing, or CRM upkeep.
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FAQ Microsoft SQL Server and Vapi
How can I connect my Microsoft SQL Server account to Vapi using Latenode?
To connect your Microsoft SQL Server account to Vapi 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 Vapi accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Vapi dialer entries from new SQL leads?
Yes, you can! Latenode's visual editor simplifies connecting Microsoft SQL Server and Vapi, automating lead import and boosting outreach efficiency with instant dialer population.
What types of tasks can I perform by integrating Microsoft SQL Server with Vapi?
Integrating Microsoft SQL Server with Vapi allows you to perform various tasks, including:
- Automatically adding new database leads to a Vapi dialing campaign.
- Updating contact information in Vapi based on SQL Server data changes.
- Triggering Vapi call workflows from specific SQL Server database events.
- Logging Vapi call outcomes back into Microsoft SQL Server for analysis.
- Creating scheduled Vapi reports based on aggregated SQL Server data.
How secure is my Microsoft SQL Server data within Latenode?
Latenode employs robust security measures, including encryption and access controls, to safeguard your Microsoft SQL Server data during integration and automation.
Are there any limitations to the Microsoft SQL Server and Vapi integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Microsoft SQL Server may impact workflow execution speed.
- Vapi API rate limits could affect the number of calls triggered in a given timeframe.
- Complex SQL queries might require JavaScript code for advanced data manipulation.