Description
The Model Context Protocol is a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol. This workshop from Anthropic — the creators of MCP — talks about the philosophy behind MCP, its impact on the broader ecosystem since launch, and how developers can use it to build context-rich AI apps and agentic experiences.
00:00 What is MCP? 9:39 Building with MCP 26:25 MCP & Agents 1:13:15 What’s next for MCP?
Recorded live at workshop day from the AI Engineer Summit 2025 in NY. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World’s Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025
About the instructor Mahesh is a Member of Technical Staff on Anthropic’s Applied AI team, focused on Model Context Protocol, agents, and helping make Claude more useful to enterprises. He was previously a Product Manager at Scale AI & Tecton and did research at UC Berkeley on how self-driving cars impact traffic systems.
My Notes
What is MCP?
- 01:18 “Models are only as good as the context provided to them.”
Building with MCP
MCP & Agents
What’s next for MCP?
- 1:35:44: Registry API: An Agent can proactively search a registry to discover tools that could be used to accomplish it’s task.
- allows agents to become “self-evolving”