Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
Project Concord addresses the critical challenge of integrating modern AI agents with complex, ambiguous legacy database schemas. By acting as a headless Model Context Protocol (MCP) server and semantic mediation layer, it translates cryptic legacy data into a clear, AI-ready interface. This intelligent bridge mitigates operational risks and unlocks the value of core data assets, enabling AI agents to reliably query databases based on a formal, version-controlled Data Contract and transforming outdated information into a valuable resource for AI initiatives.