Digital Science launched two Model Context Protocol (MCP) servers for its Dimensions research platform, aimed at giving enterprise AI agents direct access to a connected database of scientific and technological information. The integration is designed to help AI retrieve and analyze current, license-aligned research data instead of relying on general-purpose language models. The move is positioned as infrastructure for workflow use cases in the research and innovation cycle—improving how agents can locate and interpret scientific evidence within the bounds of licensing and data alignment. For biopharma organizations, it offers a route to operationalize AI within existing information systems. While not a clinical advance, the launch is relevant to drug discovery and regulatory evidence processes where traceability to sources is often a limiting factor.