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


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Authenticate Woodpecker
Now, click the Woodpecker node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Woodpecker settings. Authentication allows you to use Woodpecker through Latenode.
Configure the Microsoft SQL Server and Woodpecker 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 Woodpecker 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft SQL Server, Woodpecker, 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 Woodpecker integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Woodpecker (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 Woodpecker
Microsoft SQL Server + Woodpecker + Slack: When a new or updated lead is added to Microsoft SQL Server, and a campaign starts in Woodpecker, a notification is sent to a Slack channel.
Woodpecker + Microsoft SQL Server + Pipedrive: When a prospect's email is opened in Woodpecker, the prospect details are updated in Microsoft SQL Server, and a note is added to Pipedrive to log the update.
Microsoft SQL Server and Woodpecker 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 Woodpecker
Use Woodpecker in Latenode to automate personalized email outreach at scale. Trigger Woodpecker campaigns from any Latenode workflow (e.g., new CRM leads) and track results. Enrich contact data, personalize messages with AI, and route follow-ups based on engagement. All visually, with full Javascript customization if needed.
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See how Latenode works
FAQ Microsoft SQL Server and Woodpecker
How can I connect my Microsoft SQL Server account to Woodpecker using Latenode?
To connect your Microsoft SQL Server account to Woodpecker 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 Woodpecker accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Woodpecker prospects from SQL data?
Yes, you can! Latenode’s visual editor makes it easy to trigger Woodpecker updates directly from Microsoft SQL Server changes, ensuring your outreach is always based on the latest database info.
What types of tasks can I perform by integrating Microsoft SQL Server with Woodpecker?
Integrating Microsoft SQL Server with Woodpecker allows you to perform various tasks, including:
- Automatically adding new Microsoft SQL Server leads to Woodpecker campaigns.
- Updating prospect information in Woodpecker based on Microsoft SQL Server data.
- Triggering personalized email sequences in Woodpecker from Microsoft SQL Server events.
- Syncing campaign performance data from Woodpecker back to Microsoft SQL Server.
- Creating custom reports by combining data from both Microsoft SQL Server and Woodpecker.
Can I use JavaScript to transform data between Microsoft SQL Server and Woodpecker?
Yes, Latenode allows you to use JavaScript code blocks to transform data, providing advanced control when connecting Microsoft SQL Server and Woodpecker.
Are there any limitations to the Microsoft SQL Server and Woodpecker integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Microsoft SQL Server might impact workflow execution time.
- Complex Microsoft SQL Server queries may require optimization for efficient integration.
- Custom field mapping in Woodpecker requires accurate data type matching.