Скачать или смотреть HTTP Methods in n8n | AI Automation with mcp and n8n full course | Agentic AI with n8n & mcp

Welcome to Part 5 of our full course: AI Automation with MCP (Model Context Protocol) and n8n!
In this hands-on tutorial, we dive deep into using all four primary HTTP methods (GET, POST, PUT, DELETE) in n8n, dynamically triggered through user commands via the Chat node. You’ll learn how to build an interactive agent workflow that talks to a real backend API — created using FastAPI and deployed on Vercel.

This is not just another HTTP tutorial — this episode shows how to build intelligent, interactive AI-driven workflows using n8n HTTP nodes and real-time user input, making it perfect for anyone working on agentic AI systems or workflow automation.

🔧 What You’ll Learn in This Video:

Setting up Your Custom API with FastAPI (Vercel Deployment)

How to create a simple API with endpoints for GET, POST, PUT, and DELETE methods

Deploying the API to Vercel for easy and free hosting

Testing and verifying endpoint responses before integration

Using HTTP Request Node in n8n

Configuring the HTTP Node to interact with each of your API routes

Handling query parameters, request bodies, and response formats

Best practices for dynamic URLs and custom headers

Integrating the Chat Node with HTTP Requests

Using the Chat Node in n8n to accept user commands like "get", "post", "put", and "delete"

Creating conditional logic in the workflow to route to the correct HTTP method

Returning a response or confirmation back to the user based on the API call

Simulating a mini AI agent that reacts to natural language prompts to make API calls

Real-Time Workflow Demo

Complete flow where users interact with the agent

API requests sent and responses handled in real-time

Error handling, logging, and practical debugging tips