The Agent-Ready web: Architecting applications for WebMCP

GDG Glasgow

Explore the future of web design with WebMCP, the new standard enabling AI agents to interact with web services securely. Discover how it redefines human-computer interaction and outperforms traditional methods. Ideal for engineering teams ready to adopt cutting-edge architectural patterns for an AI-driven web ecosystem.

Oct 8, 7:00 – 7:30 PM (UTC)

32 RSVP'd

Key themes

AIWeb

About this event

For two decades, the web has been designed exclusively for human eyes and cursor clicks. With agentic AI rapidly becoming a primary web consumer, our approach to interface design, state management, and authentication must adapt.

This talk introduces WebMCP: the emerging standard that allows AI agents to discover, understand, and invoke web services securely. We’ll explore how WebMCP redefines human-computer interaction, compare it against legacy headless scrapers and brittle tool-calling setups, and discuss the architectural patterns engineering teams should adopt today to build for tomorrow's agentic ecosystem.

Speaker

  • Patty O’Callaghan

    Charles River Laboratories

    Head of AI Architecture and Engineering Group

Organizers

  • José Enrique Calderón Sanz

    JP Morgan Chase & Co

    Vice President - Lead Software Engineer

  • Patty O'Callaghan

    Charles River Laboratories

    Organizer

  • Cleyra Uzcategui

    JPMorgan Chase & Co.

    Organizer

  • Lucy McIntosh

    Glasgow Caledonian University

    Organiser

  • Lewis Shearer

    Jordanhill School

    GDG Glasgow Youth Team Leader

  • Sophie McCartney

    University of Strathclyde

    Team member

  • Vinamra Sharma

    PGT Student

  • Ashadi De Silva

    Computer Science Undergraduate @ Strathclyde Uni

  • Jakub Szamotulski

    Software Engineering (BSc) @ Strathclyde Uni

  • Thomas P

    GDG Glasgow Youth Team Member

  • lee elder

    Computer Science Student

  • Nana Boakyewaa

    University Of Strathclyde

    Computer Science Student

  • Hannah Boyd

    Computer Science Student