📄 中文摘要
在构建一个需要与公司内部工具（如Jira、Confluence、PostgreSQL数据库和自定义CRM）交互的AI助手时，遇到了各种复杂的集成问题。每个工具都有其独特的挑战，导致开发过程变得异常艰难。为了简化这些集成，提出了一种模型上下文协议（MCP），旨在为不同API之间的交互提供一致的框架。通过这一协议，可以有效管理和协调各个系统之间的数据流动，从而提升AI助手的功能和效率。
调酒师的模型上下文协议指南
出处: Bartender's Guide to Model Context Protocol
发布: 2026年2月16日
📄 English Summary
Bartender's Guide to Model Context Protocol
While building an AI assistant that needed to interact with various internal tools like Jira, Confluence, PostgreSQL database, and a custom CRM, the author faced numerous integration challenges. Each tool presented its own unique difficulties, complicating the development process significantly. To streamline these integrations, a Model Context Protocol (MCP) was proposed, aiming to provide a consistent framework for interactions between different APIs. This protocol facilitates effective management and coordination of data flow across systems, enhancing the functionality and efficiency of the AI assistant.