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 →How to connect to Azure DevOps Data from IntelliJ
Integrate connectivity to Azure DevOps data with wizards in IntelliJ.
The CData JDBC Driver for Azure DevOps enables you to access Azure DevOps as a JDBC data source, providing integration with rapid development tools in IDEs. This article shows how to use the data source configuration wizard to connect to Azure DevOps data in IntelliJ.
Create a JBDC Data Source for Azure DevOps
Follow the steps below to add the driver JAR and define connection properties required to connect to Azure DevOps data.
- In the Data Sources window, right-click and then click Add Data Source -> DB Data Source.
In the Data Source Properties dialog that appears, the following properties are required:
- JDBC Driver Files: Click the button next to this menu to add the JDBC Driver file cdata.jdbc.azuredevops.jar, located in the installation directory.
- JDBC Driver Class: In this menu, select cdata.jdbc.azuredevops.AzureDevOpsDriver from the list.
Database URL: Enter the connection URL in the JDBC URL property. The URL must start with jdbc:azuredevops: and includes connection properties separated with semicolons.
You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.
Obtaining a Personal Access Token
A PersonalAccessToken is necessary for account authentication.To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.
If you wish to authenticate to Azure DevOps using OAuth refer to the online Help documentation for an authentication guide.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Azure DevOps JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.azuredevops.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is the following:
jdbc:azuredevops:AuthScheme=Basic;Organization=MyAzureDevOpsOrganization;ProjectId=MyProjectId;PersonalAccessToken=MyPAT;InitiateOAuth=GETANDREFRESH

Edit and Save Azure DevOps Data
To discover schema information, right-click the data source you just created and click Refresh Tables. To query a table, right-click it and then click Open Tables Editor.
