AI Skill Hub 强烈推荐:MCP初学者教程库 是一款优质的Prompt模板。在 GitHub 上收获超过 16.1k 颗 Star,AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的Prompt模板解决方案,这是一个值得深入了解的选择。
MCP初学者教程库 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
MCP初学者教程库 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
# Prompt 无需安装,直接复制使用 # 支持:Claude / ChatGPT / Gemini / 通义千问 等主流模型 # 使用步骤 # 1. 复制 Prompt 模板内容 # 2. 粘贴到 AI 对话框 # 3. 替换 [占位符] 为实际内容 # 4. 发送后获取结构化输出 # 获取原始文件 git clone https://github.com/microsoft/mcp-for-beginners
# 粘贴到 Claude/ChatGPT 使用 # 示例 Prompt 结构: 你是一位 [角色],擅长 [领域]。 请根据以下要求完成任务: 任务背景:[描述背景] 具体要求:[详细说明] 输出格式:[期望格式] # 将 [] 内内容替换为实际需求
# mcp-for-beginners 配置说明 # 查看配置选项 mcp-for-beginners --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export MCP_FOR_BEGINNERS_CONFIG="/path/to/config.yml"
Follow these steps to get started using these resources: 1. Fork the Repository: Click 2. Clone the Repository:
git clone https://github.com/microsoft/mcp-for-beginners.git 3. Join The
Welcome to your journey into the Model Context Protocol! If you've ever wondered how AI applications communicate with different tools and services, you're about to discover the elegant solution that's transforming how developers build intelligent systems.
Think of MCP as a universal translator for AI applications - just like how USB ports let you connect any device to your computer, MCP lets AI models connect to any tool or service in a standardized way. Whether you're building your first chatbot or working on complex AI workflows, understanding MCP will give you the power to create more capable and flexible applications.
This curriculum is designed with patience and care for your learning journey. We'll start with simple concepts you already understand and gradually build your expertise through hands-on practice in your favorite programming language. Every step includes clear explanations, practical examples, and plenty of encouragement along the way.
By the time you complete this journey, you'll have the confidence to build your own MCP servers, integrate them with popular AI platforms, and understand how this technology is reshaping the future of AI development. Let's begin this exciting adventure together!
Your MCP journey is carefully structured to build your confidence and skills progressively. Each phase introduces new concepts while reinforcing what you've already learned.
To get the most out of this curriculum, you should have:
Now the real fun begins! You'll get hands-on experience building actual MCP servers and clients. Don't worry - we'll start simple and guide you through every step.
This module includes multiple hands-on guides that let you practice in your preferred programming language. You'll create your first server, build a client to connect to it, and even integrate with popular development tools like VS Code.
Each guide includes complete code examples, troubleshooting tips, and explanations of why we make specific design choices. By the end of this phase, you'll have working MCP implementations you can be proud of!
This repository includes several resources to help you navigate and learn effectively:
A comprehensive Study Guide is available to help you navigate this repository effectively. This visual curriculum map shows how all the topics connect and provides guidance on how to use the sample projects effectively. It's especially helpful if you're a visual learner who likes to see the big picture.
The guide includes: - A visual curriculum map showing all topics covered - Detailed breakdown of each repository section - Guidance on how to use sample projects - Recommended learning paths for different skill levels - Additional resources to complement your learning journey
Each lesson in this guide includes:
Let's learn about the Model Context Protocol (MCP), a cutting-edge framework designed to standardize interactions between AI models and client applications. Through this beginner-friendly session, we'll introduce you to MCP and guide you through creating your first MCP server. #### C#: https://aka.ms/letslearnmcp-csharp #### Java: https://aka.ms/letslearnmcp-java #### JavaScript: https://aka.ms/letslearnmcp-javascript #### Python: https://aka.ms/letslearnmcp-python
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit <https://cla.opensource.microsoft.com>.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
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Ready to start your MCP journey? Begin with Module 00 - Introduction to MCP and take your first steps into the world of Model Context Protocol development!
One of the most exciting parts of learning MCP is seeing your code skills develop progressively. We've designed our code examples to start simple and grow more sophisticated as your understanding deepens. Here's how we introduce concepts - with code that's easy to understand but demonstrates real MCP principles, you'll understand not just what this code does, but why it's structured this way and how it fits into larger MCP applications.
| Language | Description | Link |
|---|---|---|
| C# | MCP Server Example | [View Code](./03-GettingStarted/samples/csharp/README.md) |
| Java | MCP Calculator | [View Code](./03-GettingStarted/samples/java/calculator/README.md) |
| JavaScript | MCP Demo | [View Code](./03-GettingStarted/samples/javascript/README.md) |
| Python | MCP Server | [View Code](./03-GettingStarted/samples/python/mcp_calculator_server.py) |
| TypeScript | MCP Example | [View Code](./03-GettingStarted/samples/typescript/README.md) |
| Rust | MCP Example | [View Code](./03-GettingStarted/samples/rust/README.md) |
| Language | Description | Link |
|---|---|---|
| C# | Advanced Sample | [View Code](./04-PracticalImplementation/samples/csharp/README.md) |
| Java with Spring | Container App Example | [View Code](./04-PracticalImplementation/samples/java/containerapp/README.md) |
| JavaScript | Advanced Sample | [View Code](./04-PracticalImplementation/samples/javascript/README.md) |
| Python | Complex Implementation | [View Code](./04-PracticalImplementation/samples/python/README.md) |
| TypeScript | Container Sample | [View Code](./04-PracticalImplementation/samples/typescript/README.md) |
This is where your adventure begins! We'll introduce you to MCP concepts using familiar analogies and simple examples. You'll understand what MCP is, why it exists, and how it fits into the larger world of AI development.
• Module 0 - Introduction to MCP: We'll start by exploring what MCP is and why it's so important for modern AI applications. You'll see real-world examples of MCP in action and understand how it solves common problems developers face.
• Module 1 - Core Concepts Explained: Here you'll learn the essential building blocks of MCP. We'll use plenty of analogies and visual examples to make sure these concepts feel natural and understandable.
• Module 2 - Security in MCP: Security might sound intimidating, but we'll show you how MCP includes built-in safety features and teach you best practices that protect your applications from the start.
With the basics mastered, you're ready to explore more sophisticated MCP features. We'll cover practical implementation strategies, debugging techniques, and advanced topics like multi-modal AI integration.
You'll also learn how to scale your MCP implementations for production use and integrate with cloud platforms like Azure. These modules prepare you to build MCP solutions that can handle real-world demands.
The final phase focuses on joining the MCP community and specializing in areas that interest you most. You'll learn how to contribute to open-source MCP projects, implement advanced authentication patterns, and build comprehensive database-integrated solutions.
Module 11 deserves special mention - it's a complete 13-lab hands-on learning path that teaches you to build production-ready MCP servers with PostgreSQL integration. It's like a capstone project that brings together everything you've learned!
高质量开源教育资源,16k+ Star证明受欢迎度。Jupyter Notebook形式交互���好,多语言覆盖全面,是MCP学习的理想入门选择。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,MCP初学者教程库 是一款质量优秀的Prompt模板,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | mcp-for-beginners |
| 原始描述 | 开源MCP工具:This open-source curriculum introduces the fundamentals of Model Context Protoco。⭐16.1k · Jupyter Notebook |
| Topics | MCP协议教程多语言交互式学习AI开发 |
| GitHub | https://github.com/microsoft/mcp-for-beginners |
| License | MIT |
| 语言 | Jupyter Notebook |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端