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Discover how to bridge the gap between artificial intelligence and enterprise systems through this 52-minute conference talk that introduces the Model Context Protocol (MCP) as a solution for connecting AI agents to data sources. Learn about the challenges of integrating AI with enterprise systems, where each new data source traditionally requires specific integration work that limits scalability and model relevance. Explore MCP as an open standard designed to link AI assistants seamlessly to enterprise systems, including databases, business tools, and development environments. Examine Wanaku, an open-source MCP server built with Quarkus and Apache Camel, through real-world development experiences, implementation challenges, and key lessons learned from building enterprise AI integrations. Understand how MCP combined with modern Java technologies enables secure and seamless connections between AI systems and enterprise data, paving the way for more connected and intelligent AI implementations in business environments.
