LinkedIn 如何用 MCP 为 AI 代理构建组织上下文层
原标题：Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
AI 摘要
LinkedIn 工程师 Ajay Prakash 在演讲中介绍了 LinkedIn 构建的 Contextual Agent Playbooks and Tools 系统，为 AI 编码代理提供组织级上下文层，并通过 MCP 协议接入。该系统支撑了超过 600 个自动化工作流和数千个工具，使编码代理能自动完成故障排查、根因分析、缓解操作和创建 PR。背景是 LinkedIn 代码库庞大且依赖大量内部框架，通用编码代理因缺乏内部上下文而表现不佳。
正文节选
Transcript Ajay Prakash: My name is Ajay Prakash. I'm a software engineer at LinkedIn. I'll be talking about context engineering at LinkedIn. Imagine you're an engineer in a software company, a big software company, and you happen to be on call for your team. Your team owns a set of very critical services, which is used by millions of users. All of a sudden, you get a pager alert about a latency spike in one of your services. It is causing disruption for a lot of your users. While you're trying