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

Course Overview

This course teaches how to build AI automation systems and AI agents using MCP, Python, Flowise, LangChain, and n8n. You will learn how to connect tools, APIs, databases, and AI platforms to create practical AI workflows.

Course Details

• Rating: 4.5 / 5
• Duration: 13.5 Hours
• Articles: 3
• Language: English
• Certificate: Included
• Access: Full Lifetime Access

What You Will Learn

• Understand the fundamentals of Model Context Protocol (MCP)
• Build AI workflows using Claude Desktop, Cursor, and Flowise
• Create MCP servers and connect them with APIs and databases
• Use n8n for AI automation workflows
• Integrate vector databases and build RAG systems
• Develop AI agents using LangChain and LangGraph
• Build custom Python MCP servers and SSE endpoints
• Create prompt templates and custom resources using MCP SDK
• Understand MCP security risks and protection strategies
• Learn GDPR and privacy practices for AI applications

Local LLMs via Ollama & LM Studio – The Practical Guide

Start Course

Main Topics Covered

• MCP Development
• AI Agents & Automation
• LangChain & Flowise
• Vector Databases & RAG
• Python MCP Servers
• AI Security & Privacy

Who Should Learn This Course

• Developers interested in AI automation
• AI engineers building MCP workflows
• Students learning AI agent systems
• Anyone exploring modern AI integrations

Final Review

A detailed and practical course for learning MCP-based AI automation with modern frameworks and tools. It is suitable for learners who want hands-on experience building AI agents, workflows, and secure MCP systems.