Talk Advanced First Talk

Enhancing Model Context Protocol (MCP) with Dynamic Tool Discovery for Smarter AI

Approved

Session Description

The Model Context Protocol (MCP) is an emerging standard that enables structured data provisioning for LLMs and AI agents. However, the current data discovery mechanism in MCP is static. This limits the AI’s ability to dynamically assess the utility, relevance, and efficiency of data tool calls in real time. Here I present an enhancement to MCP "tool discovery" that introduces dynamic data descriptions, allowing LLM to be better informed.

This talk will introduce the concept of MCP with a demonstration of how MCP clients and servers. How they are built and how they interact.

Then I will focus on a specific flow - the tool discovery.

It is possible to enhance the specification of the MCP allowing tools to update their metadata periodically based on real-time system and environmental factors. This enhancement will enable AI models to intelligently choose tools

My Deck => https://docs.google.com/presentation/d/1mKOFl6EwMSOCrlsNf33BNUzy91I71FrNjoctVfkRdHk/edit?usp=sharing

References

https://modelcontextprotocol.io/introduction

Session Categories

FOSS

Introducing a FOSS project or a new version of a popular project

Speakers

Viraj Sharma

Student | Presidium Indirapuram School

I’m a schoolgoing developer passionate about coding and problem-solving. Proficient in Python, I’ve worked with libraries like OpenCV, cvlib, Streamlit, deepface, kivy to build projects. I have been using linux ubuntu since I started using desktops and laptops. I am a now very familiar with the the linux environment and want to promote its use.

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