In this video, we explore the powerful integration between MCP (Model Context Protocol), n8n (the open-source workflow automation tool), and a Telegram AI Agent powered by LLMs like GPT. This is a complete guide for developers and automation enthusiasts who want to build an intelligent, context-aware Telegram bot that can handle complex tasks, maintain memory, and respond smartly using real-time AI.
You will learn how to:
Understand what MCP (Model Context Protocol) is and how it works
Set up and configure n8n for automated workflows
Create a Telegram bot and connect it with your automation logic
Pass dynamic context to AI models for smarter, more personalized replies
Use LLMs like GPT-3.5 or GPT-4 in your n8n-based flows
Build and test an AI-powered Telegram agent with memory, role behavior, and long-term context handling
This integration enables seamless conversations where your bot remembers past messages, takes decisions based on current context, and feels like a real intelligent assistant. It's great for customer support, task automation, data pipelines, and even personal productivity agents.
No prior experience with n8n or MCP is required. Just follow along and build your own AI Telegram assistant from scratch!
This is your entry point to building future-ready, contextually aware bots that can automate tasks and hold meaningful conversations!
Search Tags:
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Chapters:
0.00 - 0.39 - intro
0.39 - 2.31 - what is MCP
2.31 - 8.19 - How to use MCP with Agent
8.19 - 12.46 - Testing
Hashtags:
#MCP #n8n #ModelContextProtocol #TelegramBot #AIAgent #GPTBot #WorkflowAutomation #OpenSource #ChatbotAI #AutomationTools #IntelligentBots #n8nAutomation #TelegramAI #AIBotDevelopment #AIIntegration #LLMIntegration #TechTutorial #n8nWorkflow #BuildTelegramBot #AIProductivity #OpenSourceTools
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