Open sourced MCP Protocol -Enhancements For Smarted AI
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
Session Categories
Which track are you applying for?
Speakers
Viraj Sharma
Reviews
This seems like a generic talk about the MCP protocol, but the description does not specifically mention any open source project or tool built by the speaker that uses these concepts.
I don't see how this is different from the tens of other MCP proposals we have received. No FOSS angle here except the fact that the MCP protocol was open sourced.
This didn't highlight FOSS in any meaningful way
The proposal was too generic and lacked a meaningful FOSS angle. Your proposal did not highlight a specific open-source project or your personal contribution to a FOSS tool that utilizes the concepts you described.