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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mcp-build-agents-with-claude-cursor-flowise-python-n8n/
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课程名称：MCP：使用Claude、Cursor、Flowise、Python和n8n构建代理 概述：模型上下文协议（MCP）是人工智能自动化和代理开发中最令人兴奋的新技术之一。大型语言模型（LLM）不仅需要提示，还需要上下文、工具和外部资源。通过MCP，你可以精准提供这些资源。本课程将详细讲解MCP的实践应用，教你如何构建自己的MCP服务器，使用Claude Desktop、Cursor、n8n和Flowise等客户端，如何将其自动化、安全集成到你的AI项目中。 课程内容： - 了解MCP的基本概念及其工作原理，学习如何将工具、提示和资源连接到 Claude、GPT或Gemini等LLM。 - 实际安装和配置Claude Desktop，创建并连接不同类型的MCP服务器。 - 将MCP与Cursor、Vibe Coding和Python进行结合，探索客户的灵活性及其局限。 - 使用n8n创建、托管和自动化MCP服务器，学习如何与各种在线服务连接。 - 在Flowise中使用MCP，构建复杂的工作流和多步骤代理。 - 利用MCP开发创意项目，例如构建语音接口或在Blender中实现3D工作流的自动化。 - 学会用Python和TypeScript编写MCP服务器，进行 prompt 处理、工具集成等。 - 了解安全、隐私和法律基础，确保你的MCP服务器安全合规，并应对常见威胁。 课程结束后，你将能够构建、托管、开发和集成基于MCP的代理到Claude、n8n、Cursor或Flowise等工具中，掌握创建安全MCP服务器的技能，能够将其用于个人或商业项目，全面控制MCP生态系统。
The Model Context Protocol (MCP) is one of the most exciting new technologies in AI automation and agent development.Because Large Language Models need more than just prompts - they need context, tools, and external resources.With MCP, you can provide exactly that.But how does it work in practice?How do you build your own MCP servers?How do you use clients like Claude Desktop, Cursor, Windsurf, n8n or Flowise?And how can you automate, secure, and integrate it all into your own AI project?In this course, you'll learn exactly that - step by step, clearly explained, with many examples and ready-to-use workflows.Fundamentals: Understand and Use the Model Context ProtocolGet a comprehensive overview of the MCP concept, how it works, and where to apply itLearn how tools, prompts, and resources can be connected to LLMs like Claude, GPT, or Gemini using MCPStart with practical tips, materials, and a dedicated course hub full of resources and curated referencesUnderstand the key principles of prompt engineering and how system prompts work in the MCP contextIntegrate MCP in Claude Desktop & Set Up Your First ServersInstall Claude Desktop using Node.js and NVM and configure your first server structuresUse JSON files and the official MCP installer to connect tools, databases, or your own APIsUnderstand different server types (tool servers, prompt servers, database MCPs) and their use casesConnect Claude Desktop with your local system or online services and enable API key-protected accessInstall Python using pyenv and set up the UV package manager for running your first local MCP serverCombine MCP with Cursor, Vibe Coding & PythonSet up Cursor as a flexible client, connect it to existing MCP servers (e.g., Zapier), and explore its limitations and strengthsUse Vibe Coding and Python-based configurations to customize your MCP structureManage API keys efficiently, understand pricing structures, and build your own cross-tool MCP setupCreate, Host & Automate MCP Servers with n8nLearn how to install and configure n8n locally and use it as a full-featured MCP platformCreate triggers and actions, and use custom nodes to connect Claude, Cursor, GitHub, or Google DriveIntegrate Pinecone and other vector databases for RAG agents directly into your MCP serverLearn how to host MCP servers on a VPS and keep them running 24/7 with secure accessUse authentication options and GDPR-compliant hosting strategies for secure deploymentsUse MCP in Flowise, LangChain & LangGraphInstall Flowise and build complex tool workflows (email, calendar, Airtable, web search) using Agent V2Use LangGraph to manage multi-step agent processes with clear role separation and tool executionManage Pinecone databases via SQLite, combine LangChain functionality, and build scalable automationsExplore the Flowise interface and create your own assistants with full MCP integrationCreative Projects & Specialized Workflows with MCPBuild voice interfaces for your LLM and control your AI through speech input using MCPAutomate 3D workflows in Blender with Claude, Python, and your own MCP serverUse the OpenAI API with n8n to generate images automaticallyShare ideas with the community and explore creative or unconventional use casesDevelop Your Own MCP Servers in PythonLearn how to write MCP servers using Python and TypeScript - including prompt handling, tool integration, and resourcesUse the modelcontextprotocol Python SDK to develop your own Claude-compatible prompt templatesUse the MCP Inspector for debugging and diagnostics, and expand your setup with Server-Sent Events (SSE)Understand all transport types for MCP: STDIO, SSE, and Streamable HTTP - when and how to use themPublish your MCP server on GitHub and explore hosting options like Cloudflare, AWS, or AzureAvoid common mistakes and apply best practices for stable, secure server developmentSecurity, Privacy & Legal FoundationsRecognize and understand threats like tool poisoning, jailbreaks, prompt injections, and MCP rug pullsSecure your MCP server with API keys, authentication, and proper access controlUnderstand key data privacy regulations like GDPR and the EU AI Act, and address the challenges of hosting generative AILearn from real-world examples and get clear guidance on how to stay legally and technically compliantAfter the course…You will be able to build, host, develop, and integrate MCP-based agents into tools like Claude, n8n, Cursor, or Flowise. You will know how to create secure MCP servers, combine them for your own projects, and even offer them as a service.Whether for business or personal ideas - this course gives you full control over the MCP ecosystem.
