Ketryx, an AI-native compliance platform for safety-critical product development, announced the beta launch of its Model Context Protocol (MCP) server on March 31, 2026. This innovation enables AI tools such as ChatGPT, Claude, and Copilot to securely access live compliance data from Ketryx, allowing both human developers and AI agents to build regulated products with full compliance awareness.
The MCP server addresses a critical challenge in regulated industries: the fragmentation of product lifecycle management (PLM), application lifecycle management (ALM), and development tools. By integrating these systems into a unified knowledge graph, Ketryx enables teams to use natural-language queries to check compliance status, identify traceability gaps, and verify release readiness without switching between systems. This capability is especially valuable for medical device manufacturers and other safety-critical sectors where compliance is paramount.
Ketryx is trusted by four of the world's top five medical device manufacturers. Its AI-native platform overlays existing tools to automate documentation, create traceability, and accelerate release cycles without disrupting workflows. According to the company, Ketryx AI Agents can reduce manual work by 90 percent and close compliance gaps, enhancing speed and quality across the product lifecycle.
The MCP beta launch represents a significant step toward embedding compliance intelligence directly into AI-powered development workflows. By providing AI tools with real-time access to compliance data, teams can proactively address regulatory requirements rather than retroactively fixing issues. This could reduce costly delays and improve time-to-market for regulated products.
For more information about Ketryx and its MCP server, visit www.ketryx.com. The full announcement with downloadable images and bios is available here.
This development underscores the growing trend of integrating AI with compliance systems to streamline product development in regulated industries. As AI tools become more embedded in engineering workflows, the ability to access live compliance data without context switching will likely become a competitive advantage.
