According to DeepLearning.AI, the Shanghai Artificial Intelligence Laboratory has launched the Science Context Protocol (SCP), an open-source standard designed to let AI agents plan, execute, and reproduce scientific experiments across institutions and disciplines (source: DeepLearning.AI). Unlike the Model Communication Protocol (MCP), SCP is architecturally unique, emphasizing versioned and traceable experiments coordinated through centralized hubs. Its primary goal is to securely integrate AI models, software tools, robotic systems, and human researchers into automated research workflows, thereby accelerating and scaling scientific discovery. This development presents significant opportunities for AI industry stakeholders to enhance cross-disciplinary collaboration, streamline research processes, and build robust, reproducible pipelines for scientific innovation (source: DeepLearning.AI, The Batch).