First Databank (FDB) has launched FDB MedProof MCP, a new Model Context Protocol (MCP) server designed to support AI-driven medication decision-making. The platform introduces a standardized way for AI agents and large language models to securely connect with FDB’s continuously updated, clinically validated drug database, helping developers build safer, more reliable healthcare AI applications.
MCP is an emerging open standard that defines how AI systems interact with external knowledge sources. By implementing an MCP server, FDB allows health technology developers to integrate generative AI directly into trusted medication intelligence without building complex, custom integrations. This approach reduces development time and helps ensure that AI-generated recommendations—such as drug interactions or dosing guidance—are grounded in accurate, evidence-based data rather than prone to hallucinations.
Early adopters include Artera, a patient communication platform serving more than 100 million patients, which is using the MCP server to expand AI agent capabilities across major electronic health record systems such as Epic, Oracle Health/Cerner, and MEDITECH. The integration enables AI tools to operate within clinical workflows while maintaining access to reliable medication data.
Looking ahead, FDB plans to build additional intelligent solutions on top of this foundation, including the upcoming FDB Script Agent, which will use ambient listening to convert clinical conversations into structured prescriptions within ambulatory EHR systems. The company positions MCP as a key infrastructure layer for scaling safe, enterprise-grade AI in medication workflows.
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