Model Context Protocol (MCP) for Engineering

At its core, MCP makes it easier for AI systems to connect with other software and data, giving them the ability to do more than just generate text. The CoreWeave Physical AI team has been testing MCP since its release, and in this session, they share how it can be used in real engineering contexts. Learn what MCP is, why it matters, and how it can be applied to save time and improve efficiency in day-to-day engineering work.

• Automating anomaly detection workflows: reduce manual inspection and catch hidden problems sooner
• Optimizing cathode materials: explore material combinations faster and generate instant reports
• What MCP means for engineering R&D: understand opportunities for testing, validation, and design
• Q&A with CoreWeave Physical AI engineers: hear directly from the experts who built the MCP integrations