MCP: Build Agents with Claude, Cursor, Flowise, Python & n8n
Model Context Protocol: Develop AI Agents with Python, n8n & LangChain – Servers, Clients, Tools, Resources & Prompts
4.63 (4 reviews)
302
students
13.5 hours
content
Jun 2025
last update
$19.99
regular price
What you will learn
Introduction to the Model Context Protocol (MCP): Practical tips to get started with the course and how LLMs can be extended using tools, prompts, and resources
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
Course Gallery
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6642023
udemy ID
29/05/2025
course created date
23/06/2025
course indexed date
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