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


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Authenticate FreeAgent
Now, click the FreeAgent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your FreeAgent settings. Authentication allows you to use FreeAgent through Latenode.
Configure the Microsoft SQL Server and FreeAgent 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 FreeAgent 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, FreeAgent, 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 FreeAgent integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and FreeAgent (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 FreeAgent
Microsoft SQL Server + FreeAgent + Slack: When a new or updated row is detected in Microsoft SQL Server, the data is used to find or create a corresponding invoice in FreeAgent. A message is then sent to a Slack channel notifying the team about the invoice activity.
FreeAgent + Microsoft SQL Server + Google Sheets: When a new invoice is created in FreeAgent, its details are automatically backed up to a Microsoft SQL Server database. The data about the new invoice is also tracked in a Google Sheets spreadsheet for analysis and reporting.
Microsoft SQL Server and FreeAgent 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 FreeAgent
Use FreeAgent in Latenode to automate accounting tasks. Create workflows that automatically reconcile bank data, generate reports, or update financial records based on triggers from other apps. Avoid manual data entry and ensure accuracy by connecting FreeAgent with your CRM, payment gateways, or e-commerce platforms.
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See how Latenode works
FAQ Microsoft SQL Server and FreeAgent
How can I connect my Microsoft SQL Server account to FreeAgent using Latenode?
To connect your Microsoft SQL Server account to FreeAgent 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 FreeAgent accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate invoice creation from SQL data?
Yes! Latenode allows seamless data transfer, so when a record updates in Microsoft SQL Server, an invoice generates in FreeAgent. Automate it with no-code, or extend the logic with custom JavaScript.
What types of tasks can I perform by integrating Microsoft SQL Server with FreeAgent?
Integrating Microsoft SQL Server with FreeAgent allows you to perform various tasks, including:
- Create new FreeAgent contacts from Microsoft SQL Server customer entries.
- Update FreeAgent project details based on Microsoft SQL Server data changes.
- Generate FreeAgent invoices from Microsoft SQL Server sales data.
- Track FreeAgent payment statuses and update corresponding Microsoft SQL Server records.
- Automatically reconcile Microsoft SQL Server data with FreeAgent transactions.
How secure is my SQL Server data within Latenode?
Latenode employs robust encryption and security protocols to ensure your Microsoft SQL Server data remains safe and compliant throughout all integrations.
Are there any limitations to the Microsoft SQL Server and FreeAgent integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require optimization for best performance.
- FreeAgent API rate limits may affect high-volume data transfer.
- Custom data transformations might need JavaScript for advanced cases.