Lightning Talk Intermediate

Open sourced MCP Protocol -Enhancements For Smarted AI

Rejected

Session Description

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 based on:

-Data freshness (last update, data volume, change frequency)

-System load & latency (server utilization, estimated response time)

-API rate limits & costs (quota usage, request cost)

-Geographical & time-based relevance (regional availability, peak usage)

-Data accuracy & trustworthiness (confidence scores, bias detection)

These are highlighted to encourage the audience to think of enhance the MCP in more ways.

Key Takeaways

This talk will be an introduction to the MCP protocol, discussing the problem it selves, and it will also elaborate what are the possible enhancements that can be made with some very simple insights. The MCP protocol has been open sourced by Anthropic and it is finding a lot of support in the AI community with MCP servers being built for different data aggregations

References

https://mcp.so

https://modelcontextprotocol.io/introduction

Which track are you applying for?

Main track

Speakers

Viraj Sharma Student | Presidium School

I’m Viraj Sharma, a passionate programmer interested in Python, AI, and computer vision. I am studying in class 8, presidium school indirapuram delhi. As an active python community member, I enjoy learning from experienced developers and sharing insights. I have worked with OpenCV, TensorFlow, and Streamlit, exploring computer vision, automation, and AI. I love solving problems, building projects, and understanding how technology impacts the real world. I actively participate in tech meetups, hackathons, and open-source communities, gaining hands-on experience with deep learning, NLP, and data science. I've also given lightning talks at PyDelhi, pyconfererence bangalore, discussing Python frameworks and AI applications.

https://sharmaviraj.com