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Silicon Valley Gen AI Meetup - MCP & Langflow

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About

This is the AI Alliance's 2nd Silicon Valley Gen AI event. ​The Silicon Valley Gen AI Meetup is a community for Developers, Engineers, UX, Ops, Applied Researchers, and anyone exploring the evolution of content generated by AI. Whether you're using AI to code websites, experimenting with LLM-powered media, or integrating AI agents into real-world applications, this meetup is the place to discover, share insights, and collaborate with your peers. Join us for talks, demos, discussions and networking with like-minded innovators shaping the next generation of AI.

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Why attend

This is your chance to dive deep into the world of Gen AI, connect with a new and emerging developer, design and writing community. This event is designed for new and experienced creators, and those who are curious about gen ai.

Agenda

  • This talk shows you how to build multi-agent workflows in Langflow that actually work together seamlessly. I'll walk through orchestrating agents, integrating real-time data with tools like Composio and Astra DB, and share the hard-learned lessons / common pitfalls from building these systems.

    Speaker: Melissa Herrera, Developer Relations Engineer at DataStax (now IBM) on the Langflow team

  • Large language models (LLMs) are powerful--but only when they have access to the right context. While techniques like Retrieval-Augmented Generation (RAG) help bridge this gap, they remain limited in the types of questions they can answer and tasks they can perform. The Model Context Protocol (MCP) addresses this by providing an open, lightweight standard that connects AI models to real-time information and external tools. In this session, you'll get a hands-on introduction to MCP: how it works, how it seamlessly integrates LLMs with external systems, and how it fits into the broader AI tooling ecosystem. We'll explore working examples of MCP servers, watch a model interact with them to perform meaningful tasks, and get a preview of upcoming changes to the MCP specification--making this session ideal for developers aiming to build more capable, context-aware, and responsive AI applications.

    Speaker: Ramnivas Laddad of Exograph

    Ramnivas is a technologist, author, and presenter passionate about doing software right. He has been at the forefront of innovation in the Spring Framework and Cloud Foundry since their inception, leading a group within Cloud Foundry and founding the Spring Cloud project. He is the author of AspectJ in Action (1st and 2nd editions), the best-selling book on aspect-oriented programming. Ramnivas has spoken at leading industry events including JavaOne, ScalaDays, JavaPolis, SpringOne, and O'Reilly OSCON. He is also the co-founder of Exograph, a Rust-powered framework that enables developers to expose data sources like Postgres to LLMs via MCP, offering a secure, structured, and policy-aware integration.

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