n8n just dropped native support for MCP servers. For a deeper discussion, let's chat here. I imagine there are about to be tons of YouTube videos on this topic, so today I break down what these nodes really allow us to do - without the hype. We’ll discuss how the two new MCP nodes work, and how to connect them to your Claude desktop setup. I’ll also cover the current limitations and where I think this is heading for the future of AI Agents in n8n.

Structured json should now be done in "when executed by another workflow" with updated module agent to call it . But im unable to have an array with the correct structure parameters inside . i dont want to send data[2025-12-30,3,..] i want to send date data [ "date":"2025-12-30, ....]

Want to dive deeper into this build and discuss how to enhance it? Join AIS+ In this tutorial, I’ll show you how to integrate OpenAI’s new reasoning model, O3 Mini, into n8n to build AI agents that support tool calling. A reasoning model that can call tools, like OpenAI’s O3 Mini, is a game-changer for AI agents because it allows them to take action beyond just generating text. Unlike models like DeepSeek R1, which are purely reasoning-based and lack built-in tool-calling capabilities, O3 Mini can interact with external APIs, databases, and applications in real time.

https://www.kluster.ai/ Don't miss this opportunity while it's available! The Kluster.ai API offers a simple and efficient way to work with Large Language Models (LLMs) at scale. It is fully compatible with OpenAI's API and SDKs, allowing seamless integration into your existing workflows with minimal code changes.

Want to dive deeper into this build and discuss how to enhance it? Join AIS+ In this video, I’ll show you how to build a Technical Analyst AI Agent in n8n without writing a single line of code! 🎉 Whether you’re a beginner or a seasoned automation enthusiast, this guide will teach you how to create an AI agent that automates technical analysis tasks, saving you time and effort.