Connecting AI Agents to the World with MCP

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Abstract
Right now, AI agents face a massive “silo problem.” Developers are forced to build custom, brittle integration code for every single tool and data source an LLM needs to access.
The Model Context Protocol (MCP) fixes this by introducing a universal, open standard to link AI models directly to local and remote environments.
In this architectural breakdown and live demo, we will explore:

• The Core Architecture: How MCP hosts, clients, and servers work together.
• Production Scale: Using MCP Gateways and Cloudflare’s Code Mode to manage security and context windows.
• Demo: An interactive demo showing an AI agent autonomously using the open standard to read and write data.

Key Takeaways

• Master the MCP Blueprint: Understand the core mechanics of the Host-Client-Server architecture and how they communicate over JSON-RPC 2.0.
• Eliminate Integration Fatigue: Learn how to move away from writing custom, brittle API wrappers and instead build single, reusable MCP servers that connect to any LLM.
• Design for Enterprise Scale: Discover how to use MCP Gateways to centrally manage security, enforce rate limits, and maintain data compliance across multiple agents.
• Optimize Context Windows: Learn the architectural strategy behind Cloudflare’s Code Mode to execute complex API chains without drowning your model’s context window.
• Enhance Agent UX: Understand how UI on MCP shifts agent outputs from raw text to rich, interactive user interfaces for better human-in-the-loop workflows.

Pre- requisites
Fundamental API & Web Concepts and Familiarity with LLMs.
The primary audience for this talk is Developers, Architects etc.

Agenda

10:00 AM – 10:30 AM: Registration & Welcome
10:30 AM – 11:30 AM: Main Presentation
11:30 AM – 12:00 PM: Audience Q&A
12:00 PM onwards: Lunch

Meet Our Speaker
Amit Bhagat
Solution Consultant, Sahaj Software
Amit Bhagat is a system architect and engineer specializing in high-reliability data infrastructure and agentic AI. With a proven track record of handling large-scale data systems in demanding industries like automotive, Amit focuses on building the resilient frameworks required to power autonomous multi-agent systems. He specializes in making complex infrastructure seamless and dependable—whether he is optimizing enterprise data flows or connecting AI agents to the real world.

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