Build an Agentic MCP Client with LLM (Full Integration with Gemini LLM) | Tool Aware AI Client

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In this video, we're building an Agentic MCP Client with Gemini LLM! This isn't just a simple tutorial; it's a deep dive into creating a truly Tool Aware AI Client that can understand natural language and use its own tools to answer complex queries. We’ll show you the full, end-to-end integration and explain every step of the agentic workflow.

You'll learn how to connect your MCP Client to the powerful Gemini API and give it the ability to reason, choose the right tool from your MCP Server, execute it, and then deliver a polished, human-like final answer. If you want to build the next generation of intelligent applications, this video is for you.

What You'll Learn in This Video:

The core concepts of AI agent development and Tool calling.

How to orchestrate a complex, multi-step agentic workflow.

Step-by-step code implementation for LLM integration.

A live demonstration of the full end-to-end process, debugged with terminal logs.

Timestamps:

0:00 - Introduction

0:30 - Flow with Sequence Diagram

4:01 -Foundation Code (Recap)

6:00 MCP Server (Recap Code Walkthrough)

7:20 LLM Integration( Code Walkthrough )

13:41 Demonstration / Run the code

14:52 LLM Response Analysis through Logs

21:25 Outro

Resources:
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