LLMs + GraphQL + MCP: A Blueprint for Scalable AI Tooling

Session description

Plugging an LLM into GraphQL sounds simple—until it drowns in thousands of fields, types, and connections. Most models today can’t reason effectively over large APIs without brittle prompt hacks or hardcoded shortcuts. Model Context Protocol (MCP) is the cutting-edge solution for enabling seamless, dynamic interactions between LLMs and external tooling. It standardizes the way models interact with various tools, breaking down barriers between APIs and AI systems. In this talk, you’ll discover how to turn any GraphQL endpoint into an MCP-compatible server with minimal overhead. Reuse your existing GraphQL infrastructure to avoid reinventing authorization, schema management, and validation enabling scalable, robust LLM integrations. We’ll compare existing tools and automated schema discovery against hand-crafted mappers based on benchmarks of public GraphQL APIs. Join us to learn about our experiences and recommendations for your next GenAI project, powered by GraphQL.