n8n MCP Tutorial: Build an MCP Server Under 15 Mins | ChatGPT & Claude

Learn how to build an *MCP Server using n8n* and connect it to ChatGPT, Claude, and AI Agents in this practical, beginner-friendly tutorial. MCP (Model Context Protocol) is changing how AI applications connect with external tools and data. Think of it like USB-C for AI applications: one standardized protocol that enables reusable integrations. In this hands-on tutorial, we'll build a working MCP Server in n8n, connect it to the Marketstack Stock Market API, and explore how multiple AI applications can use the same tool. Chapters: 0:00 Introduction to MCP 0:49 Understanding MCP and Clients 2:55 Designing MCP Server 3:21 Setting Up N8n Workflow 6:20 Creating MCP Client Workflow 9:12 Testing with Cloud AI Host 11:18 Integrating with ChatGPT 13:29 Review and Conclusion 🛠️ Tools & Technologies Covered: n8n | MCP | Marketstack API | ChatGPT | Claude | AI Agents | REST APIs 💡 Real-World Example: Imagine asking ChatGPT, Claude, or your n8n AI Agent: "What's Apple's latest available closing stock price?" Instead of creating different integrations for every application, we'll expose the Marketstack API through a single MCP Server. Different compatible AI applications can then connect to the same server to retrieve stock-market data. One MCP Server. One Integration. Multiple AI Applications. This tutorial is ideal for developers, QA engineers, automation enthusiasts, and anyone interested in Generative AI, Agentic AI, and intelligent workflow automation. 📚 Useful Resources: MCP Official Documentation: https://modelcontextprotocol.io/intro... n8n MCP Server Trigger: https://docs.n8n.io/integrations/buil... Note: Marketstack provides the latest available end-of-day market data in this example, not necessarily real-time stock quotes. Remote MCP client support depends on the platform and account permissions.* 🔔 Subscribe to NextGenQA for practical tutorials on AI Agents, Generative AI, n8n, MCP, RAG, and AI Engineering. NextGenQA | Build & Understand AI | Stay Ahead #n8n #MCP #AIAgents