MCP: Build Agents with Claude, Cursor, Flowise, Python & n8n

About this course

The Model Context Protocol (MCP) is one of the most exciting new technologies in AI automation and agent development.

Because Large Language Models (LLMs) 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 itLearn 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 ServersInstall 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 & PythonSet up Cursor as a flexible client, connect it to exi

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.