Apr 18
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Agentic AI is changing how we build LLM applications. Instead of just generating text, models can now reason, decide, and call tools to complete tasks. Join this channel to get access to perks: https://www.youtube.com/channel/UCFKxdpoc4KdMjUaAsMi7gmg/join In this tutorial, you’ll learn how to build an Agentic AI system using Ollama and MCP (Model Context Protocol) for structured tool calling. We’ll implement everything step by step — from setting up Ollama locally to exposing tools via MCP and enabling the model to call them intelligently. 🚀 What You’ll Learn 🤖 What Agentic AI really means 🔌 How tool calling works with MCP 🧠 Running local LLMs using Ollama 🛠️ Exposing tools/functions to your model 🏗️ Architecture Covered Local LLM via Ollama MCP-based tool server Structured tool execution This setup is ideal for: AI Engineers Agent builders Developers working on RAG + tools Anyone exploring next-gen AI infrastructure If you found this helpful: 👍 Like the video 🔔 Subscribe for more content on AI agents, MCP, local LLMs, RAG systems, and AI engineering #AgenticAI #Ollama #MCP #ToolCalling #LLMAgents #GenAI #AIEngineering #LocalLLM