At the MCP Summit in New York City, Clare Liguori of Amazon Web Services discussed the rapid rise of the Model Context Protocol (MCP), now a leading way to connect AI agents with tools and data. Originally developed by Anthropic and later transferred to the Linux Foundation, MCP has seen surging enterprise adoption as agentic AI expands.
At the MCP Summit inNew York City,Clare LiguoriofAmazon Web Servicesdiscussed the rapid rise of theModel Context Protocol(MCP), now a leading way to connect AI agents with tools and data. Originally developed byAnthropicand later transferred to theLinux Foundation, MCP has seen surging enterprise adoption as agentic AI expands.
Liguori highlighted her dual role shaping MCP’s evolving specification, including work on integrating webhooks, events, and notifications to support always-on AI agents. AWS has actively contributed features like Tasks and Elicitations and offers managed MCP servers, positioning itself as both contributor and experimental platform for emerging capabilities.
This collaboration illustrates how corporate involvement can accelerate open-source innovation and adoption. Looking ahead, MCP’s role as connective infrastructure for AI agents is expected to grow, especially as tools become more accessible. With broader adoption of AI development platforms across non-engineering roles, MCP could help extend automation beyond tech teams to businesses of all sizes.
Learn more from The New Stack about the latest around Model Context Protocol(MCP):
MCP: The Missing Link Between AI Agents and APIs
Beyond the vibe code: The steep mountain MCP must climb to reach production
MCP is everywhere, but don’t panic. Here’s why your existing APIs still matter.
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