Context and Trust in Action: A Deep Dive into Governance & Data Quality MCPs

This webinar is intended for data scientists, data engineers and developers, solution architects, data stewards, governance teams and business users who use AI assistants to work with data at an Intermediate expertise level. Part 1 showed what governed context does for AI answers and this webinar shows how it works. The session introduces the AI Agent Engineering service in IDMC and looks closely at the CDGC MCPs: Metadata Search for fast asset lookups, Catalog Discovery for filtered complete catalog searches, and Curation for enriching assets with glossary terms, classifications and business metadata. We will also introduce the CLAIRE Data Quality MCP, then show how to connect these MCPs to Claude Desktop. Starting from any business attribute, glossary term, table or column, you will see how to trace: where it comes from and how it flows across systems and layers, the transformations and name changes along the way, the reports and data products that use it, and its related glossary terms, owners and connected assets. Finally, we will check an asset’s data quality and use AI to generate a data quality rule. By the end of the webinar, you will understand how Informatica MCP grounds AI responses with governed context, how it serves developers, data scientists and business users, and how to get started in the AI tool of your choice with more confidence in the answers.