Empowering AI Agents with MCP and A2A
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Empowering AI Agents with MCP and A2A

In this session, we’ll dive into two emerging protocols—Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A)—that are poised to become the “USB-C” and “Bluetooth” of the AI ecosystem.

Date & Time

Tuesday, June 24, 2025

11:00 PM - 1:00 AM

Location

Ion Prototyping Lab 4201 Main St, Houston, TX 77002 · Houston, TX : The ION, Room 032 (Detailed location info to follow)

Registration
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About This Event

As AI agents mature, the need for standardized communication between models, tools, and even other agents becomes critical. In this session, we’ll dive into two emerging protocols—Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A)—that are poised to become the “USB-C” and “Bluetooth” of the AI ecosystem. You’ll learn how MCP and A2A work, why they matter for building robust, modular agent architectures, and see MCP in action with a hands-on live demo running entirely on your local machine. ### 🧠 What to Expect In this session, we’ll: Demystify MCP Understand how the Model Context Protocol standardizes LLM↔tool exchanges for seamless integration. Explore A2A Learn how the Agent-to-Agent Protocol enables peer-to-peer messaging and task delegation among autonomous agents. Compare & Contrast Highlight the similarities, differences, and complementary use cases of MCP vs. A2A. See MCP Live Walk through setting up a local MCP server, registering tools, and executing a full JSON-RPC exchange in real time. You’ll leave ready to start plugging MCP and A2A into your own AI pipelines—no custom glue code required. *** ### 📍 Venue The ION, Room 032 (Detailed location info to follow) ### 👥 Capacity Limited to 60 attendees Spots are limited—be sure to RSVP early! *** Join us to master the protocols that will power the next generation of AI agents and take your multi-agent workflows from proof-of-concept to production. Events in Houston, TX Artificial Intelligence Data Science New Technology Open Source Software Development Speaker Bin Liu Dr. Bin Liu holds a Ph.D. in Generative Modeling in Physics and brings deep expertise in applying AI to real-world problems. He has extensive hands-on experience designing and deploying multi-agent systems and agentic workflows across industrial settings. Dr. Liu’s work bridges the gap between cutting-edge research and practical applications, with a focus on making AI agents reliable, interoperable, and production-ready.