Talk
Reflections on Context Engineering for MCP Servers
The Model Context Protocol (MCP) has emerged as a standard for connecting AI agents to external tools and data sources. But building an effective MCP server isn't just about exposing APIs—it's about engineering the right context at the right time.
About
Till Döhmen is AI Lead at MotherDuck, where he focuses on building agentic experiences for data analytics. He designed and built the MotherDuck MCP Server, enabling AI agents to query and analyze data through Claude, Cursor, and other MCP clients. Till is also a final-year PhD candidate at the University of Amsterdam, researching AI for data management.