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MCP n8n AI Agents: Creating Flexible and Reusable AI Automation Systems | Tutorial
#MCP #n8n #Agents #Build #Extendible #Reusable #Agents #Automation #Systems #Tutorial
#n8n #MCP #AITools #Anthropic
Discover how to harness the power of Model Context Protocol (MCP) to supercharge your n8n AI workflows! In this tutorial, we explore Anthropic’s open standard for connecting AI systems to data sources, making it simpler and more reliable to build powerful AI applications.
🔍 What You’ll Learn:
– Understanding MCP’s client-server architecture and how it works
– Building an MCP server with multiple AI tools (Technical Analysis, Perplexity Research, Gmail)
– Creating end-to-end AI workflows for research and analysis
– Extending your MCP server with new capabilities without changing client code
– Connecting MCP servers to Claude in Cloud Desktop for expanded capabilities
Perfect for AI developers, workflow automation enthusiasts, and anyone looking to build more powerful, extensible AI systems that can access real-world data and services!
Links:
✔️ Railway one-click n8n self-hosted template : https://railway.com/template/Xx4_lu?referralCode=zilvRo
✔️ To learn more join my Udemy course with 70% discount code:
Introduction to AI Automation with n8n and LangChain
https://www.udemy.com/course/introduction-to-ai-automation-with-n8n-and-langchain/?couponCode=N8N_LEARN_14
✔️Signup for AI for Non Coders Newsletter : aifornoncoders.com
✔️Community topic on mcp:
https://community.n8n.io/t/we-re-adding-mcp-client-tool-mcp-trigger-nodes-try-them-now/99338
#MCP #AITools #Anthropic #WorkflowAutomation #AIAgents #ModelContextProtocol #n8n
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