Mcp: Build Agents With Claude, Cursor, Flowise, Python & N8N

Mcp: Build Agents With Claude, Cursor, Flowise, Python & N8N
Published 6/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Model Context Protocol: Develop AI Agents with Python, n8n & LangChain – Servers, Clients, Tools, Resources & Prompts

What you’ll learn

MCP Basics & Tool Integration in Claude Desktop: Understand the JSON structure, compare server types, set up with Node.js, and install via the MCP Installer

Build Your Own Workflows in Claude Desktop: Access local applications, integrate databases, and connect API keys for secure interactions
Connect MCP with Cursor & Vibe Coding: Install Python via pyenv, understand the Cursor interface, connect to OpenAI or Claude, and use MCPs flexibly

API Keys & Access Control: Setup for OpenAI, OpenRouter & more, understand pricing differences, limitations, and project setup within Cursor

Host Your Own MCP Server in n8n: Install Node.js, cover basics like triggers and actions, understand MCP client vs. host, and configure your server securely
Extend the n8n MCP Server: Connect to Claude, Cursor, or GitHub nodes, integrate Zapier functionality for free, and add your own tools

Integrate Vector Databases into MCP: Manage Pinecone automatically via Google Drive, export workflows, and build RAG agents with vector search

HTTP Integration & GDPR-Compliant Hosting: Send HTTP requests to the MCP server even without an official MCP, learn hosting best practices

Use MCP in Flowise, LangChain & LangGraph: Install Flowise, understand the interface, compare agent platforms, and see real-world use cases

Tool Agents with MCP: Integrate access to emails, calendars, Airtable, web scraping, and Pinecone in Flowise for scalable automation

Flowise AI Agents V2 & New Features: Use LangGraph, work with SQLite as a record manager, and combine tool agents with vector access

Create Specialized Workflows with MCP: Voice control for LLMs, automations in Blender, custom image generation via OpenAI & n8n workflows

Develop Your Own Python MCP Server: Learn server programming basics, understand the GitHub repo, integrate tools, and use the MCP Inspector

Define Your Own Prompt Templates & Resources: Use the modelcontextprotocol Python SDK to manage custom prompts and data structures, and connect them to Claude

Build SSE Endpoints for the MCP Server: Enable real-time connections, trigger custom tools via events, and avoid common server development errors

Understand & Prevent MCP Security Risks: Recognize and mitigate tool poisoning, MCP rug pulls, jailbreaks, and prompt injections with secure strategies

Privacy, GDPR & Legal Frameworks for MCP: Know your rights and responsibilities when hosting, processing data, and using LLM tools in compliance with the law

Requirements

No prior knowledge required – everything is explained step by step.

Description

Overview

Section 1: Introduction – Overview, Tips & Understanding the Model Context Protocol

Lecture 1 Welcome

Lecture 2 Course Overview

Lecture 3 Important Tips for the Course

Lecture 4 Explanation of Course Links

Lecture 5 Key Resources

Lecture 6 Instructor Introduction: Arnold Oberleiter (Arnie)

Lecture 7 The Model Context Protocol Explained: Give LLMs Tools, Prompts & Resources

Lecture 8 Prompt Engineering Basics & System Prompts

Section 2: MCP Basics in Claude Desktop & the Setup: Node.js, Python & NVM Installation

Lecture 9 What You’ll Learn in This Section on MCP Basics

Lecture 10 Model Context Protocol (MCP): Official Documentation Overview

Lecture 11 Setup: Install Node.js, nvm, VS Code and Claude Desktop Quickly

Lecture 12 Claude Desktop Interface & Settings Overview

Lecture 13 Integrate MCP into Claude Desktop via JSON File

Lecture 14 Set Up Multiple MCP Servers Easily with the MCP Installer + Debugging via Logs

Lecture 15 Installing Python, pyenv & the uv Package Manager

Lecture 16 Quick Tip: Discover More MCP Servers & Clients on GitHub, MCP.so & more

Lecture 17 Set Up API Key Integration for Your MCP Server

Lecture 18 Problems with MCP servers that are no longer maintained

Lecture 19 One of the best MCP servers and the problem with it

Lecture 20 Recap on Claude Desktop and MCP Basics What to Remember

Section 3: Integrating MCP in Cursor, Vibe Coding & API Keys

Lecture 21 What We’ll Cover: Python, Cursor, Vibe Coding & API Keys

Lecture 23 Connect Cursor to Any MCP Server: Use Zapier for Free, GitHub, Slack & More

Lecture 24 Create API Keys: OpenAI API, OpenRouter, Pricing, Project Setup & Management

Lecture 25 Limitations of the Model Context Protocol with Cursor as a Client

Lecture 26 Recap on Cursor and MCP

Section 4: MCP in n8n – Create Your Own Server & Client: Hosting, Security & More

Lecture 27 What to Expect in the n8n & MCP Section

Lecture 28 Install n8n Locally with Node.js and Interface Overview

Lecture 29 Managing Node Versions (Fixing Errors in n8n Installation)

Lecture 30 Updating n8n Locally via Node.js

Lecture 31 n8n Basics: Triggers, Actions, Nodes, Models, MCP and More
Lecture 32 Create MCP Server in n8n and Use the Google Cloud Console

Lecture 34 Secure Your MCP Server Properly: Set Up Authentication

Lecture 35 Add Tools to Your MCP Server & Use Zapier for Free in Claude

Lecture 36 Automatically Create Pinecone Vector Database via Google Drive for n8n MCP

Lecture 37 Export & Import n8n Workflows Easily (JSON Format)

Lecture 38 Build a RAG Agent and Integrate Vector Database into the MCP Server

Lecture 39 How to Integrate Multiple Vector Databases into Your MCP Server

Lecture 40 Connect Any API in n8n Using the HTTP Request Node

Lecture 41 Self-Host n8n: Make Your MCP Server Accessible from Anywhere – Even for Others

Lecture 42 Connect Every MCP Server (GitHub or Python Servers) to n8n via Community Node

Lecture 43 n8n Community Node: Common Issues with Prompts & Resource

Lecture 44 Recap: What to Remember

Section 5: MCP in LangChain, LangGraph & Flowise

Lecture 45 What We’ll Learn in This Section

Lecture 46 MCP in LangChain, LangGraph & Flowise: Key Differences

Lecture 47 Install Flowise locally with Node.js and Update It

Lecture 48 Flowise Interface & Marketplace: LangGraph Made Easy

Lecture 49 Tool Agent in Flowise with MCP: Emails, Calendar, Airtable, Web Search & More

Lecture 50 Pinecone Vector Database in Tool Agents for RAG (with SQLite Record Manager)

Lecture 51 Flowise AI Agents V2 with MCP

Lecture 52 Integrate Custom SSE MCPs into Flowise and a Postgres Database

Lecture 53 More Possibilities in Flowise

Lecture 54 Hosting Flowise on Render: Step‑by‑Step and a quick HTML lesson

Lecture 55 Recap on MCP with LangChain and Flowise

Section 6: Special Workflows – Automations with Blender, Image Generation & More

Lecture 56 What We’ll Cover in This Section

Lecture 57 Talk to Your LLM & MCP Server – How to Use Voice Input

Lecture 58 Automate Blender with MCP, Claude and Python and uvm

Lecture 59 Create an MCP Server with Memory: Persistent Context & Long-Term Recall

Lecture 60 Create an MCP Server for Image Generation (OpenAI API, n8n, Flux)

Lecture 61 Can ChatGPT Act as an MCP Host? Webhook & n8n Workaround Explained

Lecture 62 Connecting Flowise to n8n: Use HTTP Request & cURL Import

Lecture 63 Racap: Got Cool MCP Server or Workflow Ideas? Share Them With Us!

Section 7: Program Your Own MCP Server – Step by Step in Python

Lecture 64 What You’ll Learn Here: Program MCP Servers with Python & TypeScript

Lecture 65 Project Overview: Python Code, Structure & GitHub Repository Explained

Lecture 67 MCP Inspector: Debug & Analyze Your Python MCP Server via STDIO Transport
Lecture 68 Create a Config File for Your Python MCP Server to Enable Host Connections

Lecture 69 Add Resources to Your Python MCP Server (Vibe Coding with Cursor)

Lecture 70 Add Prompt Templates Using the modelcontextprotocol Python SDK

Lecture 71 Use Different Transport Methods: STDIO, SSE & Streamable HTTP
Lecture 72 More Possibilities: Tips & Common Mistakes in Custom Server Development

Lecture 73 How to Publish Your MCP Server on GitHub – Step by Step (and other options)

Lecture 74 Hosting Options for Your Server: VM Setup with Cloudflare, AWS, Azure & More

Lecture 75 Recap: What to Remember

Section 8: MCP Client (not needed for moste but here we go with a Overview)

Lecture 76 Developing MCP Clients

Section 9: Security, Privacy, GDPR & Common Issues with MCP

Lecture 77 What We’ll Learn in This Section

Lecture 78 Simple Example of a Misbehaving Server (you got hacked)

Lecture 79 Tool Poisoning, MCP Rug Pulls & Other Security Vulnerabilities

Lecture 80 Common Attacks on LLMs: Jailbreaks, Prompt Injections & Data Poisoning

Lecture 81 Authentication and API Keys

Lecture 82 Avoid Accidental Deletion & Unwanted Full Access on Your Server

Lecture 83 Copyrights, Data Privacy, Censorship, License & Compliance

Lecture 84 Final Recap & My Thanks

Lecture 85 Bonus

AI developers, tech tinkerers, and automation nerds who want to understand the Model Context Protocol (MCP), build their own servers, or extend existing clients like Claude, Cursor, n8n, or Flowise.,Private individuals and AI enthusiasts who finally want to understand how LLMs can be extended with tools, prompts, and resources – and get their first MCP agents up and running.,Entrepreneurs and freelancers looking to use MCP-based AI workflows to automate routine tasks, streamline processes, or build their own AI service offering.,Software developers & prompt engineers working at the intersection of LLM APIs, tool integration, and workflow automation who want to apply MCP to their own projects.,Tech-savvy individuals & AI newcomers who want to combine tools like Claude Desktop, Cursor, n8n, or Flowise and dive deep into the MCP ecosystem.