Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →Connect to Aha Data in HULFT Integrate
Connect to Aha as a JDBC data source in HULFT Integrate
HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData API Driver for JDBC, HULFT Integrate can work with live Aha data. This article walks through connecting to Aha and moving the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Aha data. When you issue complex SQL queries to Aha, the driver pushes supported SQL operations, like filters and aggregations, directly to Aha and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Aha data using native data types.
Enable Access to Aha
To enable access to Aha data from HULFT Integrate projects:
- Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.api.jar (and cdata.jdbc.api.lic), to the jdbc_adapter subfolder for the Integrate Server
- Restart the HULFT Integrate Server and launch HULFT Integrate Studio
Build a Project with Access to Aha Data
Once you copy the JAR files, you can create a project with access to Aha data. Start by opening Integrate Studio and creating a new project.
- Name the project
- Ensure the "Create script" checkbox is checked
- Click Next
- Name the script (e.g.: APItoCSV)
Once you create the project, add components to the script to copy Aha data to a CSV file.
Configure an Execute Select SQL Component
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
- In the "Required settings" tab for the Destination, click "Add" to create a new connection for Aha. Set the following properties:
- Name: Aha Connection Settings
- Driver class name: cdata.jdbc.api.APIDriver
- URL: jdbc:api:Profile=C:\profiles\aha.apip;ProfileSettings='Domain=acmeinc';Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the Aha JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
Start by setting the Profile connection property to the location of the Aha! Profile on disk (e.g. C:\profiles\aha.apip). Next, set the ProfileSettings connection property to the connection string for Aha! (see below).
Aha! API Profile Settings
The Aha! API uses OAuth-based authentication.
You will first need to register an OAuth app with Aha!. This can be done from your Aha! account under 'Settings' > 'Personal' > 'Developer' > 'OAuth Applications'. Additionally, you will need to set the Domain, found in the domain name of your Aha account. For example if your Aha account is acmeinc.aha.io, then the Domain should be 'acmeinc'.
After setting the following in the connection string, you are ready to connect:
- AuthScheme: Set this to OAuth.
- InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
- OAuthClientId: Set this to the client_id that is specified in you app settings.
- OAuthClientSecret: Set this to the client_secret that is specified in you app settings.
- CallbackURL: Set this to the Redirect URI you specified in your app settings.
- Domain: Set this in the ProfileSettings to your Aha domain.
- Write your SQL statement. For example:
SELECT Id, Name FROM Ideas
- Click "Extraction test" to ensure the connection and query are configured properly
- Click "Execute SQL statement and set output schema"
- Click "Finish"
Configure a Write CSV File Component
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
- Set a file to write the query results to (e.g. Ideas.csv)
- Set "Input data" to the "Select SQL" component
- Add columns for each field selected in the SQL query
- In the "Write settings" tab, check the checkbox to "Insert column names into first row"
- Click "Finish"
Map Aha Fields to the CSV Columns
Map each column from the "Select" component to the corresponding column for the "CSV" component.
Finish the Script
Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Aha data into a CSV file.

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Aha data in HULFT Integrate. Reach out to our Support Team if you have any questions.