With the latest MCP tools, you can manage your mabl DataTables directly from your AI client without switching back to the mabl app. Describe the scenarios you want to cover, and your AI client handles the rest of the workflow:
- Create and edit DataTables
- Associate DataTables with tests
- Run tests against different scenarios
- Review how your DataTables run in plans
Using your coding agent to manage DataTables makes it easier to expand test coverage in context:
- Quickly generate new scenarios based on existing patterns - for example, "Generate 5 more scenarios with realistic US addresses."
- Address coverage gaps as they come up - if there is a bug: "Test XYZ should have caught that. Add a DataTable scenario that would have caught this issue."
Try it out
The DataTable tools are available in the mabl cloud MCP server with no setup beyond connecting your AI client. Once connected, ask your client to do the work in plain language. For example:
"What would be a good set of scenarios to validate with data-driven testing for this test? Great, create a DataTable to drive it."
"Add 10 more scenarios to this DataTable to expand coverage, following the existing pattern."
"Update the DataTable to include an additional variable, student ID, and generate realistic values. Then edit the test to use the data instead of the hard-coded values."
"Run the checkout test against just the 'expired card' scenario so I can check the fix."
Deleting DataTables or modifying columns (removing/renaming) isn't supported via MCP yet—manage those in the mabl app. You can update or replace rows and add columns, but note that replacing a table permanently overwrites any omitted rows. Make sure to review your data first.