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127 | 127 | "event_type": "Keynote Sessions",
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323 | 323 | "event_end": "2025-09-08 10:15",
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324 | 324 | "event_type": "Keynote Sessions",
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325 | 325 | "description": "As developers build with AI agents, we face a challenge: how do we provide these agents with reliable, flexible access to our distributed data? GraphQL's graph-based approach makes it the ideal language for AI. Join Matt DeBergalis, CEO and Co-founder of Apollo GraphQL, to explore how \"thinking in graphs\" fundamentally transforms API orchestration from procedural code to declarative queries – creating the composable data layer that AI-driven applications require.",
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607 | 607 | "end_time": "11:15:00",
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608 | 608 | "event_subtype": "Schema evolution"
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609 | 609 | },
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611 | 657 | "event_key": "929626",
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612 | 658 | "active": "Y",
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613 | 659 | "pinned": "N",
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614 | 660 | "name": "Panel Discussion: APIs for AIs - Kewei Qu, Meta; Fredrik Björk, Grafbase; Boris Besemer, Vercel; Moderated by Stephen Spalding, Netflix",
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615 | 661 | "event_start": "2025-09-08 11:25",
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616 | 662 | "event_end": "2025-09-08 11:55",
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617 |
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| 663 | + "event_type": "GraphQL in Production", |
618 | 664 | "description": "APIs give AI superpowers. The MCP protocol, introduced less than a year ago, has quickly become a popular method for connecting large language models (LLMs) with the outside world. But where does GraphQL fit in? It's structured, typed, and introspectable... so what's the catch?\n\nJoin our panel of experts as we delve into how to leverage GraphQL effectively and safely in AI applications. We'll discuss the trade-offs, potential pitfalls, and share insights into best practices and strategies. This interactive discussion will explore how combining GraphQL with MCP can unlock new superpowers for AI, offering attendees a chance to engage with thought leaders and gain valuable perspectives.",
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729 |
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730 | 730 | },
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731 | 731 | {
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732 | 732 | "event_key": "924672",
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4350 | 4350 | "name": "LLMs + GraphQL + MCP: A Blueprint for Scalable AI Tooling - Erik Wrede, Strawberry-GraphQL & Thore Koritzius, Independent",
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4351 | 4351 | "event_start": "2025-09-10 15:50",
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4352 | 4352 | "event_end": "2025-09-10 16:20",
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4353 |
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4354 | 4354 | "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.\n\nModel 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.\n\nIn 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.",
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4399 | 4399 | {
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4400 | 4400 | "event_key": "929627",
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