Build a File Agent using Google ADK & MCP | File MCP Server Explained in Tamil | Adi Explains

Adi Explains · Intermediate ·🛠️ AI Tools & Apps ·3mo ago
This video is a complete, end-to-end explanation of how to build a FileAgent using Google ADK and MCP (Model Context Protocol), explained clearly for Tamil speakers, especially students and working professionals who want to understand how modern AI agents actually interact with files and tools in real systems. Even though the explanation style is friendly and intuitive for the Tamil audience, the concepts covered are industry-grade and highly relevant for anyone working with LLMs, agents, or backend AI systems. In this session, I start from the very foundation by explaining why a FileAgent is needed in the first place. Most people learn how to prompt an LLM, but when it comes to real-world applications, prompts alone are not enough. We need agents that can read files, write files, process documents, and expose file operations safely to an AI model. This is where MCP comes into the picture, and I explain the motivation behind MCP by addressing the tool integration problem and how MCP standardizes communication between agents and external capabilities. Next, the video walks through the creation of a File MCP Server from scratch. I explain what an MCP server actually is, how it exposes tools, how requests and responses flow, and how file-related operations like reading directories, opening files, or handling file paths can be safely wrapped as tools. Instead of jumping straight into code, I slow down and explain the architecture so that even viewers who are new to MCP can follow along without confusion. Once the File MCP Server is ready, the video moves into the integration part with Google ADK. This is one of the most important sections, especially for developers who want to build real agents instead of demos. I explain how Google ADK agents discover MCP tools, how the agent understands which tool to call, and how the FileAgent uses the MCP server as its external capability. This part connects theory with practice and shows how everything fits together in a clean a
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

35 ChatGPT Prompts for Wealth Managers: Strengthen Client Relationships, Sharpen Analysis, and Scale Your Practice
Wealth managers can leverage ChatGPT with 35 tailored prompts to enhance client relationships, analysis, and practice scalability, freeing up time for high-value tasks
Dev.to AI
I Built an Open-Source AI Tools Directory with 850+ Tools — Here's Why and How
Learn how to build an open-source AI tools directory with 850+ curated tools using Next.js, Prisma, and Supabase
Dev.to AI
Your Tech Stack Has an AI Problem: How to Audit and Fix It in 2026
Learn to identify and fix AI-related issues in your tech stack to stay competitive in 2026
Dev.to · Lycore Development
If you follow my Linux and DevOps articles — this one is different. I built something. Let me tell you about it.
Learn how to build a Yellow Pages for AI tools using FastAPI, Meilisearch, and Redis
Dev.to AI
Up next
How AI Is Transforming ITSM And ITIL 5 | Future Of IT Service Management With AI | Simplilearn
Simplilearn
Watch →