Data & AIData & AI
Conference50min
INTERMEDIATE

MCP in Action: Connecting AI to Enterprise Systems

This talk introduces the Model Context Protocol (MCP), an open standard for seamlessly connecting AI assistants to enterprise systems. Using Wanaku, an open-source MCP server built on Quarkus and Apache Camel, the session covers integration challenges, lessons learned, and how MCP enables secure, scalable AI-data connectivity in enterprises.

Otavio Rodolfo Piske
Otavio Rodolfo PiskeRed Hat/IBM

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Thursday, November 13, 10:30-11:20
Mimosa 1
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Artificial intelligence is evolving rapidly, but one challenge remains: efficiently connecting AI agents to the systems where data resides. Each new data source requires a specific integration, limiting the scalability and relevance of models.

The Model Context Protocol (MCP) addresses this issue by defining an open standard to link AI assistants to enterprise systems: from databases to business tools and development environments.

In this talk, I will introduce MCP through Wanaku, an open-source MCP server based on Quarkus and Apache Camel, developed by our team to simplify these integrations. I will share our experience building it, the challenges our team faced, and the lessons our team learned. You’ll also see how MCP, combined with modern Java technologies, enables seamless and secure connections between AI and enterprise data.

Join us to explore how this protocol is paving the way for more connected and intelligent AI systems!
ai
mcp
enterprise
integration
talks.speakers
Otavio Rodolfo Piske

Otavio Rodolfo Piske

Red Hat/IBM

Czech Republic

I am a contributor to the Apache Camel project, where I focus on contributing with several of its projects in the areas of observability, integration, automation and testing. I'm also the lead developer for the Wanaku MCP Router project.
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