本文讨论了在Perl中使用Protocol Buffers的经验与最佳实践。作者指出Google::ProtocolBuffers已存在十年，可能不再适用，而Google::ProtocolBuffers::Dynamic是更好的选择，但在Debian Trixie上无法编译。此外，作者提到同事创建了一个纯Perl库并上传至GitHub，并表达了对Thrift的喜爱，尽管其未能获得广泛关注。

人工智能与大型语言模型的集成技术正从简单提示词工程向自主代理系统转变。Model Context Protocol（MCP）旨在标准化上下文提供，解决模型上下文窗口限制和系统集成问题，建立安全、低延迟的集成链路。MCP C# SDK在快速迭代中增强功能，支持多种传输机制，提升开发者体验，推动企业智能化进程。

The new protocol dissector for X Protocol in MySQL was just merged to the master branch in Wireshark. To get it build Wireshark from the master branch or wait for the next release.This protocol is...

With the rapid evolution of GenAI and the growing trend of accomplishing more and more tasks through chat, can you imagine a day (perhaps in the near future) we can buy almost anything simply by...

This PEP describes the “pretty print protocol”, a collection of changes proposed to make pretty printing more customizable and convenient.

This blog is focused on Model Context Protocol (MCP). MCP is an open standard enabling seamless integration between applications powered by large language models (LLMs) and external data sources...

Welcome to the official Model Context Protocol (MCP) blog! This is where we’ll share the latest updates, tutorials, best practices, and insights about MCP. About MCP The Model Context Protocol is...

Model Context Protocol (MCP) 是一种开放标准，旨在实现大型语言模型与外部数据源的集成。v0.3.0-preview.1 版本新增详细异常信息捕获和可选日志集成，提升了 AI 应用的构建速度和系统稳定性。

Model Context Protocol (MCP) has quickly emerged as a topic of interest in conversations about AI for business. This post explains the significance of MCP, how the technology works, its...

MCPSharp 是一个 .NET 库，帮助开发者构建符合模型上下文协议 (MCP) 标准的服务器和客户端。它简化了工具和函数的创建，支持 JSON-RPC 通信，便于 AI 模型访问外部数据，提供易用的 API、自动参数验证和丰富文档，适合 AI 应用开发。

本研究提出了一种创新方案，解决模型上下文协议（MCP）中统一接口缺失的问题，促进人工智能模型与外部工具的无缝互动，并提出有效策略以缓解安全与隐私风险。