Semarchy has announced expanded AI-native capabilities for its Intelligent Data Products, with every data product now automatically generating its own Model Context Protocol (MCP) server so AI agents and assistants can discover, query and reason over governed enterprise data without losing the lineage, access controls and certification history that make it trustworthy.
Master data management has produced a governed, mastered dataset and then handed it to downstream teams who manage the interpretation themselves. Semarchy's Intelligent Data Products approach embeds the business context, relationships, explainability and reasoning guidance into the data product at design time, so it travels with the data into analytics platforms and AI ecosystems rather than being rebuilt separately for each consumer.
The MCP server that each product creates automatically exposes the product's business purpose, entities, relationships, quality rules and sensitive-data controls to AI assistants and agents through natural language. Users can query and reason over the trusted data without bypassing governance.
Semarchy has also introduced improved browsability for data products, letting business users, data stewards, data scientists and application developers browse available products and review metadata including value, intended use and lineage before accessing the data. For enterprise data teams evaluating MDM platforms, this means governance lineage and context can be assessed before committing to any integration.
Semarchy is a leader in the 2026 Gartner Magic Quadrant for Master Data Management. The company is headquartered in Phoenix, Arizona.
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