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English(EN) MCP Server Architecture Patterns for LLM-Integrated Applications

Hugging Face论文详述LLM服务器架构模式

Hugging Face的一篇新论文详述了集成大型语言模型(LLM)与外部工具和数据的服务器的五种常见架构模式。这些模式在众多社区开发的服务器中都有体现,解决了构建模型上下文协议(MCP)生态系统的结构性挑战。该论文还概述了反模式和跨领域关注点,如身份验证和可观测性,有助于更好地理解生产级别的LLM集成。 AI

影响 提供LLM集成的服务器架构分类,帮助开发人员构建更健壮、可扩展的应用。

排序理由 论文发布,详述LLM集成的架构模式。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Hugging Face论文详述LLM服务器架构模式

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论文发布,详述LLM集成的架构模式。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, infra
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High
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79 days old
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    面向LLM集成应用的MCP服务器架构模式

    The Model Context Protocol (MCP), introduced by Anthropic in November 2024, defines a standardized interface for connecting large language models (LLMs) to external tools, data sources, and services. Within months of release, hundreds of community-built MCP servers appeared on Gi…