KI in Bewegung: LLMs mit Echtzeitdaten über MCP vernetzen
Details
Wie das Model Context Protocol und Genkit den Weg zum intelligenten Bahn-Assistenten ebnen.
Herkömmliche Sprachmodelle sind oft durch ihren statischen Wissensstand limitiert. In diesem Vortrag zeige ich, wie das Model Context Protocol (MCP) diese Grenzen sprengt, indem es eine standardisierte Schnittstelle zwischen LLMs und externen Datenquellen schafft. Am Praxisbeispiel eines "TrainAI Assistant" – entwickelt mit Genkit und TypeScript – untersuchen wir die Architektur eines MCP-Servers, die Anbindung der DB-Timetable-API und die Erstellung agentischer Workflows, die komplexe Reiseanfragen in Echtzeit präzise beantworten können.
AI in Motion: Connecting LLMs to Real-Time Data with MCP
Leveraging the Model Context Protocol and Genkit to build a smarter Train Assistant.
Traditional LLMs are often limited by their training data cutoff. This talk demonstrates how the Model Context Protocol (MCP) overcomes these boundaries by providing a standardized bridge between AI models and local or remote data sources. Using the practical example of a "TrainAI Assistant" built with Genkit and TypeScript, we explore the implementation of an MCP server for the Deutsche Bahn API. We’ll dive into how to create agentic workflows that connect high-level reasoning with dynamic, real-world data to provide accurate, real-time travel information.
Agenda
---
Hosted By
Christian Dziuba, Senior Android Developer
Passionate android developer since Android 1.5 🧁Cupcake. I have developed a wide variety of apps for many customers like Volkswagen, Beiersdorf, Daimler and many more. I love creating solid apps with best user experiences possible that improves peoples lives.
In my spare time I play table tennis 🏓, watch movies 🍿 or love to travel the world 🏝️.
Philipp Neumann, Frontend Developer
Matthias Raaz,
Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-braunschweig-presents-ki-in-bewegung-llms-mit-echtzeitdaten-uber-mcp-vernetzen/.