4 May 2026 Release Notes

Open Source Version 5.32.2

Feature highlights

MCP server for AI assistants

The TestGen Model Context Protocol (MCP) server is now available, letting AI assistants like Claude Code, OpenAI Codex, Microsoft Copilot, Cursor, and others investigate quality issues, summarize trends, look up source data, and trigger profiling or test runs through a structured set of tools.

The MCP server supports OAuth 2.1 for easy browser-based setup with modern AI clients and respects the authorized user's project permissions.

This is the initial general-availability release of the MCP server. Future releases will continue expanding the tool surface to enable more AI-assisted workflows.

For setup instructions and the full tool reference, see MCP Server.

REST API for automation

The TestGen REST API is now available for CI/CD pipelines, orchestration tools, and custom integrations. You can trigger profiling and test runs, retrieve run results, and import and export tests to move them between environments.

This is the initial general-availability release of the REST API. Future releases will incrementally add endpoints to enable more automated workflows.

For setup instructions and the full API reference, see API.

Smarter quality scores

Quality scores can now be broken down by Impact Dimension — Conformance, Regularity, Reliability, or Usability — alongside the existing Quality Dimension axis, helping you see which kinds of operational risk are most affected by quality issues.

Quality scores also now apply importance weighting by default. Dimension tables and key columns like IDs and PII data count more toward the score, so quality problems in critical tables are no longer hidden by larger but less consequential ones. Weights are derived automatically from semantic metadata that profiling collects.

Existing projects keep weighting off by default; toggle it on from Project Settings to recalculate. New projects start with weighting on. For details, see Quality Scores.

Other fixes and enhancements

• We improved the user experience of the Profiling Results, Hygiene Issues, Test Definitions, and Test Results pages.
• We fixed bugs in the execution of the Value Match All test on PostgreSQL, SQL Server, and SAP HANA.
• We applied general fixes to reduce errors, increase security, and improve our user experience.