Felix Liao
As organizations move from simple chatbots to agentic AI systems, the pressure is on to build robust and accurate agents based on governed, AI-ready data in a secure, scalable way. With the Model Context Protocol (MCP) emerging as a key open standard for connecting AI models, tools, and data, integration patterns using MCP are now emerging as a robust way to deploy and leverage multi-agent systems on top of existing enterprise data repositories.
Join us for an in-depth Denodo MCP Support Update session with Felix Liao, director of Product Management at Denodo, and learn how Denodo’s latest MCP capabilities provide the backbone for modern agentic architectures. Discover current MCP integration options, including support for SQL-based data querying and an advanced Query RAG pipeline, connecting from a variety of MCP clients and agent orchestration platforms as well as complex multi-agent applications.
Attend & Learn:
- How to develop AI-ready data products and semantics for agent development and deployment
- About the multiple Denodo MCP integration options available today to support different integration patterns and use cases
- How to deploy and use a Denodo-powered data agent in multi-agent collaboration processes and agent orchestration platforms
