We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built on two foundational pillars: (1) Unified Resource Integration: At its core, SCP provides a universal specification for describing and invoking scientific resources, spanning software tools, models, datasets, and physical instruments. This protocol-level standardization enables AI agents and applications to discover, call, and compose capabilities seamlessly across disparate platforms and institutional boundaries. (2) Orchestrated Experiment Lifecycle Management: SCP complements the protocol with a secure service architecture, which comprises a centralized SCP Hub and federated SCP Servers. This architecture manages the complete experiment lifecycle (registration, planning, execution, monitoring, and archival), enforces fine-grained authentication and authorization, and orchestrates traceable, end-to-end workflows that bridge computational and physical laboratories. Based on SCP, we have constructed a scientific discovery platform that offers researchers and agents a large-scale ecosystem of more than 1,600 tool resources. Across diverse use cases, SCP facilitates secure, large-scale collaboration between heterogeneous AI systems and human researchers while significantly reducing integration overhead and enhancing reproducibility. By standardizing scientific context and tool orchestration at the protocol level, SCP establishes essential infrastructure for scalable, multi-institution, agent-driven science.

翻译：本文介绍SCP：科学上下文协议，这是一种旨在通过构建全球自主科学智能体网络来加速科学发现的开源标准。SCP建立在两大核心支柱之上：(1) 统一资源集成：SCP核心提供了一套用于描述和调用科学资源的通用规范，涵盖软件工具、模型、数据集和物理仪器。这种协议级别的标准化使得人工智能智能体与应用程序能够无缝发现、调用和组合跨不同平台及机构边界的能力。(2) 编排式实验生命周期管理：SCP通过安全服务架构对协议进行补充，该架构由中心化的SCP枢纽和联邦式SCP服务器组成。此架构管理完整的实验生命周期（注册、规划、执行、监控与归档），实施细粒度的身份验证与授权，并编排可追溯的端到端工作流，从而连接计算实验室与物理实验室。基于SCP，我们构建了一个科学发现平台，为研究人员和智能体提供了包含超过1600项工具资源的大规模生态系统。在多样化的应用场景中，SCP促进了异构人工智能系统与人类研究人员之间安全的大规模协作，同时显著降低了集成开销并增强了可重复性。通过在协议层面标准化科学上下文与工具编排，SCP为可扩展、多机构、智能体驱动的科学研究奠定了关键基础设施。