Udemy - MCP Build Agents with Claude, Cursor, Flowise, Python & n8n Free Download

Udemy – MCP Build Agents with Claude, Cursor, Flowise, Python & n8n
English | Tutorial | Size: 8.58 GB

AI Automation & Agents with Model Context Protocol – Python, n8n, LangChain, Server, Client, Prompts, Tools & RAG

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 Protocol

Get a comprehensive overview of the MCP concept, how it works, and where to apply it

Learn how tools, prompts, and resources can be connected to LLMs like Claude, GPT, or Gemini using MCP

Start with practical tips, materials, and a dedicated course hub full of resources and curated references

Understand the key principles of prompt engineering and how system prompts work in the MCP context

Integrate MCP in Claude Desktop & Set Up Your First Servers

Install Claude Desktop using Node.js and NVM and configure your first server structures

Use JSON files and the official MCP installer to connect tools, databases, or your own APIs

Understand different server types (tool servers, prompt servers, database MCPs) and their use cases

Connect Claude Desktop with your local system or online services and enable API key-protected access

Install Python using pyenv and set up the UV package manager for running your first local MCP server

Combine MCP with Cursor, Vibe Coding & Python

Set up Cursor as a flexible client, connect it to existing MCP servers (e.g., Zapier), and explore its limitations and strengths

Use Vibe Coding and Python-based configurations to customize your MCP structure

Manage API keys efficiently, understand pricing structures, and build your own cross-tool MCP setup

Create, Host & Automate MCP Servers with n8n

Learn how to install and configure n8n locally and use it as a full-featured MCP platform

Create triggers and actions, and use custom nodes to connect Claude, Cursor, GitHub, or Google Drive

Integrate Pinecone and other vector databases for RAG agents directly into your MCP server

Learn how to host MCP servers on a VPS and keep them running 24/7 with secure access

Use authentication options and GDPR-compliant hosting strategies for secure deployments

Use MCP in Flowise, LangChain & LangGraph

Install Flowise and build complex tool workflows (email, calendar, Airtable, web search) using Agent V2

Use LangGraph to manage multi-step agent processes with clear role separation and tool execution

Manage Pinecone databases via SQLite, combine LangChain functionality, and build scalable automations

Explore the Flowise interface and create your own assistants with full MCP integration

Creative Projects & Specialized Workflows with MCP

Build voice interfaces for your LLM and control your AI through speech input using MCP

Automate 3D workflows in Blender with Claude, Python, and your own MCP server

Use the OpenAI API with n8n to generate images automatically

Share ideas with the community and explore creative or unconventional use cases

Develop Your Own MCP Servers in Python

Learn how to write MCP servers using Python and TypeScript – including prompt handling, tool integration, and resources

Use the modelcontextprotocol Python SDK to develop your own Claude-compatible prompt templates

Use 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 them

Publish your MCP server on GitHub and explore hosting options like Cloudflare, AWS, or Azure

Avoid common mistakes and apply best practices for stable, secure server development

Security, Privacy & Legal Foundations

Recognize and understand threats like tool poisoning, jailbreaks, prompt injections, and MCP rug pulls

Secure your MCP server with API keys, authentication, and proper access control

Understand key data privacy regulations like GDPR and the EU AI Act, and address the challenges of hosting generative AI

Learn from real-world examples and get clear guidance on how to stay legally and technically compliant

After 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.

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