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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-mcp-model-context-protocol-complete-guide/
课程评论：没有评论
课程名称：MCP大师班：2025年Python中的MCP完整指南 课程概述：本课程与其他课程的不同之处在于，它提供了从零基础到成为MCP专家的完整指南，而非简单的速成班。课程内容约8小时，专注于Python语言，帮助你从MCP架构和协议的基础知识出发，深入了解并构建MCP服务器和客户端。 课程特点： - 完整性：本课程是MCP的全面学习，内容详尽。 - 最新技术：涵盖最新的流式HTTP传输技术。 - 理论与实践结合：从MCP的背景、工作原理入手，逐步深入到MCP服务器和客户端的构建。 - 实操性：课程包括创建多个MCP服务器和客户端，从无到有的构建过程。 学习目标： 1. 理解MCP架构：深入了解MCP客户端与服务器的交互。 2. 掌握MCP的全部特性，包括工具、资源、传输协议等。 3. 实际构建MCP服务器和客户端，与大型语言模型组合，实现强有力的应用。 选择本课程的理由： - 完整的指导：本课程涵盖了从基础到高级的所有知识，教学内容系统化。 - 实践导向：通过实际案例和应用，巩固理论知识。 - 逐步学习：每一个概念都有详细讲解，提高学习效率。 - 教师支持：提供教师回复，帮助解决学习中的问题。 - 额外资源：提供代码、幻灯片和相关指南等学习资料。 课程内容概述： - MCP介绍：背景、起源及课程路线图。 - MCP架构概述：MCP在AI系统中的应用及工作流程。 - 环境设置：准备开发环境与工具。 - 快速开始：构建第一个MCP系统。 - 深入MCP服务器：工具、资源、发布及部署等。 - MCP客户端深入：客户端管理、工具调用及与LLM的集成。 - 实际项目构建：制作实际案例，如记忆追踪器与国际象棋统计服务器。 这门课程旨在助你从零开始，最终能够独立构建和部署MCP服务器和客户端，成为MCP领域的专家。
What makes this course different than others?Complete Guide: this is not a bootcamp or "crash" course - this is the only complete guide that takes you from knowing nothing about MCPs, to understanding the architecture and protocol, to an MCP expert building MCP Servers and Clients. You get ~8 hours of content!Focus on Python: the SDK we use here is completely in Python (instead of Javascript or Typescript). However, since all the SDKs are similar, what you learn here will be applicable to all SDKs.Up to date: this course incorporates all the latest updates and technologies, including the new Streamable HTTP transportFrom Theory to Build: this course starts on the theory and architecture behind MCPs, why they exist, how they work, their history so that you get a solid understanding. After that, we focus on the features around MCP Servers and Clients and applying it as we build with MCPMCP Servers and Clients: this course builds both MCP servers and clients (most content just stops at servers)Build 4+ MCP Servers and Clients: we build several MCP servers and clients from scratchMCPs are taking over the world because they solve a critical problem. LLM applications are great at generating content but they lack taking action. Tools and Function Calling were meant to address this, but LLM frameworks apply this differently and many developers had to "reinvent the wheel" every single time they started building an LLM application. Consensus was needed and MCP was born. Since then, MCP has taken off, being adopted fully by Microsoft, OpenAI, Anthropic, and so much more. Thousands of companies have built their own MCP servers, and tens of thousands of developers have built MCP servers that interact with an API or compute some process locally. In fact, MCP was one of the highest search terms in Q1-Q2 2025 (after AI Agents). This course is all about taking you from knowing nothing about MCPs to becoming an MCP master. By the end of this course, you will be able to build your own MCP Servers and Clients from scratch, deploy them locally or on a virtual machine, distribute them using GitHub or NPM, and learn / master all of MCPs architecture and features.Note that we focus on the Python SDK when building MCP Servers and Clients.What's MCP?MCP is a standardized mechanism (i.e., protocol) for AI systems (like LLMs, agents, etc.) to interact with external systems (like APIs, tool logic, local processes, etc.). Think of it as a universal USB-C connector for AI systems and everything that needs to connect to AI systems.Why MCP?One word: standardization. Once you build an MCP Server, it can easily connect to thousands of different applications / LLMs / Agents that contain an MCP Client. Similarly, if you build an MCP Client, it can easily connect to tens of thousands of MCP Servers.What is this course all about?This course has one goal - to taking you from knowing nothing about MCPs to becoming an MCP master. Ultimately, this means going through MCPs vast set of features and learning how to apply them into your own applications. We will build MCP Servers and Clients from scratch and deploy / distribute them both locally and remotely.This course is hands-on, practical, and tailored for enthusiasts / developers seeking how to build real-world MCP Servers and MCP Clients. Note that the SDK we use is Python in Windows/Mac and the MCP Hosts we use in this course are VS Code and Anthropic Claude.What will you learn?Understand MCP architecture - learn how MCP Clients and MCP Servers interact with each other in detailLearn, master, and apply all MCP features - deep dive into all of MCP features, including tools, resources, prompts, transport protocol, STDIO, streamable https, and so much moreBuild MCP Servers and Clients - build several real-world practical MCP Servers and Clients from scratch, and combine them with LLMs to create powerful LLM applicationsPublish, and host your own MCP Server or MCP Client - distribute and publish your own MCP Servers and MCP ClientsWhy choose this course?Complete guide - this is the 100% start to finish, zero to hero, basic to advanced guide on building MCP Servers and Clients. There is no other course like it that teaches you everything from start to finish. It contains ~8 hours of instructional content!Structured to succeed - this course is structured to help you succeed by learning the theory and actually applying it. We also focus on both architecture, servers, clients, and deployment. Fully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrationsStep by step - we go through every single concept one-by-one. This improves your probabilities of learning MCP rather than going haphazardly through each featureTeacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out videoResources - you get access to all the code and slides in this course, plus several notes and guidesCourse OverviewMCP Introduction - Understand why MCP exists, its origins, what it enables, and a breakdown of the full course roadmap.MCP Architecture Overview - Dive into how MCP works with agents and LLMs, the client-server workflow, server primitives like resources/prompts, and the difference between FastMCP, Stdio, and Streamable HTTP setups.MCP Environment Setup - Get your local development environment ready with Claude, Python, Git, and VS Code, and access key course resources.MCP Quickstart - Build your first working MCP system (both Server and Client) with Claude and a simple tool (like an Airbnb example), covering both local and NPX-based setups.MCP Server Deep Dive - Tools - Learn how MCP servers interact with your local files, APIs, external models, and how to structure more complex inputs.MCP Server Deep Dive - Resources and Prompts - Explore how to expose reusable resources and prompts from your MCP server, and how to structure them for input-output handling.MCP Server Deep Dive - Deployment and Publishing - Package your MCP server for reuse and publish it to platforms like GitHub to share or deploy in real-world scenarios.MCP Server Deep Dive - STDIO vs. Streamable HTTP - Understand remote server options, how to build and host Streamable HTTP servers, and connect clients using MCP Inspector and virtual machines.MCP Client Deep Dive - Go under the hood of MCP Clients, how they manage sessions, call tools/resources/prompts, and integrate with LLMs for full processing flows.MCP End-to-End Builds - Build real-world projects like a memory tracker and chess stats server, and create MCP Clients that connect to multiple servers.MCP Conclusion and Certificate - Wrap up your MCP journey, celebrate your accomplishment, and learn how to access your course certificate.
