Время Астаны
AI QAZAQSTANKZ · AIБета

Умный портал об искусственном интеллекте и высоких технологиях в Казахстане

Исследования1 мин чтения

Материал агрегирован из первоисточника:

arXiv — cs.AI

Читать полностью в arXiv — cs.AI

Заголовок на английскомMCPGuard: Finding Conformance Gaps in MCP SDKs via Dual-Track Analysis and Dynamic Adjudication

arXiv:2611.03662v1 Announce Type: new Abstract: The Model Context Protocol (MCP) connects large language model agents to external tools and services through official SDKs that implement message validation and session logic. Specification constraints omitted by these SDKs may…

arXiv — cs.AIАвтор: Xikai Sun, Kebin Liu, Fan Dang, Yawen Zheng, Zihao Yang, Yunhao Liu4 ноября 2026 г. (1 час назад)
Доступно на 1 языках

Кратко от AI: Главные тезисы

  • arXiv:2611.03662v1 Announce Type: new Abstract: The Model Context Protocol (MCP) connects large language model agents to external tools and services through official SDKs that implement message validation and session logic
  • Specification constraints omitted by these SDKs may…
Исследования
KZ·AI C38E
Инсайт дня

MCPGuard: Finding Conformance Gaps in MCP SDKs via Dual-Track Analysis and Dynamic Adjudication

Теги:#arXiv
Поделиться:

Похожие материалы

ENCARD: A Proof-Carrying Certificate-to-Action Interface for Relative-Measurement Graphs

arXiv:2611.03651v1 Announce Type: new Abstract: Geometric certificates make mathematical claims about specified estimator objects, while robotic action requires a physical transform, a service decision, and timely proof support. We present CARD, a proof-carrying interface that…

arXiv — cs.AI

ENFunctional-Group Knowledge Is Structured in Language Models Before It Is Spoken

arXiv:2611.03684v1 Announce Type: new Abstract: Language models serve as the reasoning core of agents for chemistry and materials science, where they must interpret molecular structure before planning syntheses or proposing materials. Yet their outputs show only what they say,…

arXiv — cs.AI

ENLOLPlay: Benchmarking Real-Time Visual Agents in League of Legends

arXiv:2611.03685v1 Announce Type: new Abstract: Visual agents need to coordinate reasoning and action while their environment evolves during inference. We introduce LOLPlay, a benchmark in native \emph{League of Legends} with 36 champion-specific tasks spanning resource…

arXiv — cs.AI

К списку