Science Context Protocol (SCP)- Global Web of Autonomous Scientific Agents

The future of scientific discovery is no longer confined to a single laboratory. This video explores the Science Context Protocol (SCP), an open-source standard designed to create a global web of autonomous scientific agents.
While current AI science systems are often bespoke and siloed, SCP provides a unified protocol layer that connects heterogeneous "dry" (computational) and "wet" (physical) resources. By standardizing how AI agents interact with software tools, datasets, and laboratory instruments, SCP enables researchers to orchestrate complex, multi-institution workflows with ease.
Key features of SCP include:
• The SCP Hub: A centralized "brain" that manages experiment registration, planning, and execution.
• Federated SCP Servers: Distributed edge nodes that expose over 1,600 specialized tools across biology, chemistry, and physics.
• Dry-Wet Integration: The ability to move seamlessly from AI-driven protein design to automated robotic execution in a physical lab.
• Protocol Reproduction: Automatically turning narrative PDF research papers into machine-readable, executable JSON task graphs.
Discover how SCP goes beyond general standards like the Model Context Protocol (MCP) to provide the domain-specific structure required for high-throughput, reproducible science.
Explore the open-source specification: https://github.com/InternScience/scp
https://arxiv.org/pdf/2512.24189