
LinkedInLearning/AI-Unboxing-MCP 是从 https://github.com/linkedinlearning/ai-unboxing-mcp. 导入的 MCP 候选服务器。
概览
LinkedInLearning/AI-Unboxing-MCP 是从 https://github.com/linkedinlearning/ai-unboxing-mcp. 导入的 MCP 候选服务器。
概述(AI 翻译)
这是LinkedIn Learning课程Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth的仓库。完整课程可在[LinkedIn Learning][lil-course-url]获取。
![小缩略图网址]
课程描述
MCP,即模型上下文协议,使你几乎可以将任何事物连接到人工智能。在这场直播系列改编的课程中,LinkedIn 首席讲师 Morten Rand-Hendriksen 详细介绍了 MCP。你将了解 MCP 是什么以及它为何重要。然后动手学习如何从零开始构建 MCP 服务器,使用引发和采样等前沿功能,管理安全与授权,并部署远程 MCP 服务器以便更便捷地访问和使用。
See主分支的说明文件,获取更新的说明和information.
说明
本课程最初是 LinkedIn 上的直播,练习文件按活动日期分类在文件夹中。每个文件夹包含一个或多个 MCP 服务器项目。每个子项目有一个 README.md 文件,详细说明如何使用。部分文件夹包含已完成的 MCP 服务器,另一些包含挑战、未完成项目或其他材料。
供参考:
本页由 AI 翻译,技术细节请以原文为准。
README
Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth
This is the repository for the LinkedIn Learning course Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth. The full course is available from LinkedIn Learning.
Course Description
MCP, the Model Context Protocol, enables you to connect pretty much anything to AI. In this livestream series-turned-course, LinkedIn Principal Instructor Morten Rand-Hendriksen unboxes MCP. You’ll learn what MCP is and why it matters. Then get hands on and learn how to build MCP servers from scratch, use cutting edge features like elicitation and sampling, manage security and authorization, and deploy remote MCP servers for easier access and use.
See the readme file in the main branch for updated instructions and information.
Instructions
This course originated as a livestream on LinkedIn, so the exercise files are organized in folders by the day of the event. Each folder contains one or more MCP server projects. Each sub-project has a README.md file with detailed instructions on how to use it. Some folders contain completed MCP servers, others contain challenges, half-completed projects, or other materials.
For reference:
day-02/= Chapter 2day-03/= Chapter 3day-05/= Chapter 5
Installing
- To use these exercise files, you must have the following installed:
- Visual Studio Code with GitHub Copilot
- Claude Desktop (optional)
- Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
- Follow the instructions in the course and in the respective
README.mdfiles for each project.
Instructor
Morten Rand-Hendriksen
Principal Staff Instructor, Speaker, Web Designer, and Software Developer
Check out my other courses on LinkedIn Learning.
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →