The MCP protocol, and how it changes the way AI agents access data
SciFi bei den Berliner Datamonstern im Juni. Während die Einen an der Etablierung von Skynet arbeiten, begeben sich Andere in den Widerstand und planen der KI (R)evolution im eigenen Keller zu begegnen (oder sie zu ignorieren). Doch egal ob im eigenen Keller oder in der Cloud "für alle": um ein KI Modell zu betreiben müssen Daten her - diese müssen ausgetauscht und verwaltet werden.
Und dafür haben schlaue Köpfe sich etwas ausgedacht. Was genau, das erklärt euch Matthias bei einem kühlen Bier an einem warmen Sommerabend.
Freut euch mit uns und kommt zu unserem Treffen.
Vortrag
The MCP protocol, and how it changes the way AI agents access data
LLMs are powerful but limited—they operate as isolated systems and struggle with complex, multi-step tasks or integration with enterprise data sources.
The Model Context Protocol (MCP) addresses these gaps by providing a standard way to orchestrate multiple AI agents, models, and tools. MCP enables agents to collaborate, share context, and access structured data, which is essential for advanced analytics.
DataSpaces offers a secure, governed environment for sharing and analyzing data across organizations.
Integrating MCP with DataSpaces allows AI agents to access enterprise data securely, automate analytics workflows, and deliver more actionable insights. This combination extends the capabilities of LLMs, making advanced data analytics more flexible, interoperable, and enterprise-ready.
Matthias Buchhorn-Roth
Matthias is a data and AI solutions architect with experience in Cloud Computing, Dataspaces. He is worked closely with Microsoft technologies, including Azure-based data solutions. Currently his focus is on building scalable, user-centric and Agentic AI systems along user journeys and new technologies like Model Context Protocol.
Ort
ML!PA Consulting GmbH
Fredersdorfer Str. 10
10243 Berlin
Wir treffen uns im 3. OG.
Zur Gruppe
Markus Raatz
Benjamin Kettner
Die Deutsche Data Plattform Community
Seit 2004.
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