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Venue: Grand Ballroom 2 + 3 clear filter
Thursday, August 13
 

09:30 KST

Keynote: Welcome & Opening Remarks - Demetrios Brinkmann, Member Non-Technical Staff, AAIF
Thursday August 13, 2026 09:30 - 09:40 KST

Speakers
avatar for Demetrios Brinkmann

Demetrios Brinkmann

Member Non-Technical Staff, Agentic AI Foundation

Thursday August 13, 2026 09:30 - 09:40 KST
Grand Ballroom 2 + 3

09:45 KST

Keynote: Two Years of MCP: State of The Ecosystem - Den Delimarsky, Member of Technical Staff, Anthropic
Thursday August 13, 2026 09:45 - 10:00 KST
Two years ago, getting an AI agent to reach anything outside itself meant writing a whole bunch of glue code. A custom integration for every tool, every data source, every model you wanted to support. Nobody enjoyed this, and yet everybody did it anyway.

MCP was the emerging alternative - one protocol, implemented once on each side. It empowered all imaginable agents to be able to talk to anything through a standard set of conventions.

Two years later, the ecosystem around MCP is bigger than the spec itself. There are servers for nearly everything anyone would want to wire an agent into, clients across every major platform, and entire categories of capabilities that make the protocol suitable for more than just ferrying text-based data back and forth.

MCP is now the undeniable substrate most agentic workflows run on. Getting there took a couple of years, a large number of engineering debates, and the work of a community of maintainers, developers, and advocates that spans the globe. This is the story of us getting here.
Speakers
avatar for Den Delimarsky

Den Delimarsky

Member of Technical Staff, Anthropic
Den Delimarsky is a Member of Technical Staff at Anthropic, where he helps build the Model Context Protocol (MCP). He's spent over a decade at the intersection of product management and engineering, building developer tools and platforms. He writes at .
Thursday August 13, 2026 09:45 - 10:00 KST
Grand Ballroom 2 + 3

10:00 KST

Keynote: MCP and the New Frontier for OSPOs - Ana Jiménez Santamaria, AAIF Ambassador & Senior Project Manager, The Linux Foundation
Thursday August 13, 2026 10:00 - 10:10 KST
Moving MCP tooling and agents from prototype to production creates a new set of challenges. Some are widely discussed protocol and infrastructure issuesscalability; agent communication; authentication. But as organizations work through those challenges, another bottleneck comes to the front: the operational governance layer around MCP adoption: trust, context, policy, provenance, accountability, and ecosystem participation

That layer is familiar territory for open source management. For years, Open Source Program Offices (OSPOs) practices have coordinated across legal, security, engineering, and product teams, helping decide which open source software to trust, how to contribute safely, how to manage provenance, how to define reusable policies, and more

As MCP makes it easier for agents to connect to tools, data, and internal systems, teams also need to ask: Which MCP servers are safe to use? Who maintains them? What context should agents read? What internal policies should be enforced? How do we trace what an agent did and under what rules?

Building on preliminary findings from the 2026 State of the OSPO survey, early stories from open source managers and strategists across organizations, and emerging agentic AI use cases being tested in the field, this keynote explores how OSPO practices can help organizations adopt MCP in production through ways that are trustworthy, auditable, context-aware, and connected to the AAIF ecosystem.
Speakers
avatar for Ana Jiménez Santamaría

Ana Jiménez Santamaría

Senior Project Manager, Linux Foundation
Ana Jiménez Santamaría is an open source community leader and data scientist with 5+ years of experience at the Linux Foundation, working as Sr. project manager supporting global, multi-stakeholder IT ecosystems. She is also an Agentic AI Foundation Ambassador, helping developers... Read More →
Thursday August 13, 2026 10:00 - 10:10 KST
Grand Ballroom 2 + 3

10:10 KST

Keynote: A Cloud Service Provider's MCP Operations Story (From MCP Generator to MCP Gateway) - Jihye Kim, Backend Engineer, Naver Cloud Platform
Thursday August 13, 2026 10:10 - 10:25 KST
To attach an MCP server to each of hundreds of Naver Cloud Platform services, every service team had to implement MCP from scratch.
We built an MCP Generator to solve this — automatically generating MCP server code from OpenAPI specs.

Then Claude's MCP Builder Skills arrived. Suddenly, anyone could build an MCP server through a few conversations with Claude. The value of the generator we had built disappeared overnight.

We had to change direction.
And the question changed with it — from "how do we make building MCP servers easier?" to "how do we operate hundreds of them?"

That's how MCP Gateway was born. It aggregates multiple MCP servers behind a single HTTP endpoint, so users can connect every cloud service tool to their AI agent with just one URL and one API key.

This talk is structured in two parts:

Part 1 — The Journey: The process of figuring out how to provide good MCP servers for hundreds of cloud services — what problems we found, what we tried, and how the arrival of MCP Builder Skills became the turning point.

Part 2 — MCP Gateway: An introduction and demo of what problems it solves today, and a look at what we're building next.
Speakers
avatar for Jihye Kim

Jihye Kim

Backend Engineer, Naver Cloud
Backend developer at Naver Cloud Platform
Thursday August 13, 2026 10:10 - 10:25 KST
Grand Ballroom 2 + 3

10:55 KST

Workshop: Building MCP Servers and Agentic AI Workflows in Java - Kevin Dubois, IBM & Daniel Oh, Red Hat
Thursday August 13, 2026 10:55 - 11:25 KST
In this workshop, you'll build a complete MCP-powered agentic system in Java from scratch.

We'll start by building an MCP server. You'll see how familiar the programming model is: annotate a method with @Tool, configure a transport, and your service speaks MCP. We'll connect it to a real-world API so the tools do something useful, not just "hello world."

Next, we'll build an AI agent that discovers and calls those MCP tools through natural language. You'll see how dependency injection and type safety make multi-tool composition clean and testable, and how hot reload lets you iterate on agent behavior in seconds.

Finally, we'll compose multiple agents into a workflow, including a supervisor agent that autonomously routes tasks to specialist agents, each with their own tools and MCP connections.

All materials are open source and based on a battle-tested workshop delivered to developer audiences worldwide. Attendees leave with running code and reusable patterns they can apply immediately.
Speakers
avatar for Daniel Oh

Daniel Oh

Senior Principal Developer Advocate, Red Hat
Java Champion, CNCF Ambassador & TAG DevEX Co-Chair, AAIF Ambassador, Microsoft MVP, Developer Advocate, Technical Marketing, Keynote Speaker, Published Author
avatar for Kevin Dubois

Kevin Dubois

Sr Principal Developer Advocate, IBM
Kevin Dubois is often featured as a (keynote) speaker at conferences around the world, where he shares his passion and knowledge about developer experience, Agentic AI, open source, cloud native development and Java. He is also an author, java Champion, and an accomplished software... Read More →
Thursday August 13, 2026 10:55 - 11:25 KST
Grand Ballroom 2 + 3

11:25 KST

Workshop Continues: Building MCP Servers and Agentic AI Workflows in Java - Kevin Dubois, IBM & Daniel Oh, Red Hat
Thursday August 13, 2026 11:25 - 11:55 KST

Speakers
avatar for Daniel Oh

Daniel Oh

Senior Principal Developer Advocate, Red Hat
Java Champion, CNCF Ambassador & TAG DevEX Co-Chair, AAIF Ambassador, Microsoft MVP, Developer Advocate, Technical Marketing, Keynote Speaker, Published Author
avatar for Kevin Dubois

Kevin Dubois

Sr Principal Developer Advocate, IBM
Kevin Dubois is often featured as a (keynote) speaker at conferences around the world, where he shares his passion and knowledge about developer experience, Agentic AI, open source, cloud native development and Java. He is also an author, java Champion, and an accomplished software... Read More →
Thursday August 13, 2026 11:25 - 11:55 KST
Grand Ballroom 2 + 3

11:55 KST

Workshop Continues: Building MCP Servers and Agentic AI Workflows in Java - Kevin Dubois, IBM & Daniel Oh, Red Hat
Thursday August 13, 2026 11:55 - 12:20 KST

Speakers
avatar for Daniel Oh

Daniel Oh

Senior Principal Developer Advocate, Red Hat
Java Champion, CNCF Ambassador & TAG DevEX Co-Chair, AAIF Ambassador, Microsoft MVP, Developer Advocate, Technical Marketing, Keynote Speaker, Published Author
avatar for Kevin Dubois

Kevin Dubois

Sr Principal Developer Advocate, IBM
Kevin Dubois is often featured as a (keynote) speaker at conferences around the world, where he shares his passion and knowledge about developer experience, Agentic AI, open source, cloud native development and Java. He is also an author, java Champion, and an accomplished software... Read More →
Thursday August 13, 2026 11:55 - 12:20 KST
Grand Ballroom 2 + 3

13:50 KST

Workshop: How to Use Sol-Terra-Luna in One Goal - Goobong Jeong, Team Attention
Thursday August 13, 2026 13:50 - 14:20 KST
Most people use Codex one prompt at a time. In this hands-on workshop, participants will turn Codex into a long-running research-to-build system by defining a clear Goal, providing rich project context, and steering the work as it progresses. We will assign Sol as the lead agent, delegate research and building tasks to Terra, use Luna for fast and repeatable work, then return to Sol for integration and evidence-based review. Participants will learn how to collaborate with Codex without taking implementation back, and how to verify results through tests, artifacts, and observable evidence.
Speakers
avatar for Goobong Jeong

Goobong Jeong

Founder, Team Attention
Goobong Jeong builds AI for real life and supports an ecosystem where diverse, independent builders can turn ideas into products.
Thursday August 13, 2026 13:50 - 14:20 KST
Grand Ballroom 2 + 3

14:20 KST

Workshop Continues: How to Use Sol-Terra-Luna in One Goal - Goobong Jeong, Team Attention
Thursday August 13, 2026 14:20 - 14:50 KST
Most people use Codex one prompt at a time. In this hands-on workshop, participants will turn Codex into a long-running research-to-build system by defining a clear Goal, providing rich project context, and steering the work as it progresses. We will assign Sol as the lead agent, delegate research and building tasks to Terra, use Luna for fast and repeatable work, then return to Sol for integration and evidence-based review. Participants will learn how to collaborate with Codex without taking implementation back, and how to verify results through tests, artifacts, and observable evidence.
Speakers
avatar for Goobong Jeong

Goobong Jeong

Founder, Team Attention
Goobong Jeong builds AI for real life and supports an ecosystem where diverse, independent builders can turn ideas into products.
Thursday August 13, 2026 14:20 - 14:50 KST
Grand Ballroom 2 + 3

14:50 KST

Workshop Continues: How to Use Sol-Terra-Luna in One Goal - Goobong Jeong, Team Attention
Thursday August 13, 2026 14:50 - 15:15 KST
Most people use Codex one prompt at a time. In this hands-on workshop, participants will turn Codex into a long-running research-to-build system by defining a clear Goal, providing rich project context, and steering the work as it progresses. We will assign Sol as the lead agent, delegate research and building tasks to Terra, use Luna for fast and repeatable work, then return to Sol for integration and evidence-based review. Participants will learn how to collaborate with Codex without taking implementation back, and how to verify results through tests, artifacts, and observable evidence.
Speakers
avatar for Goobong Jeong

Goobong Jeong

Founder, Team Attention
Goobong Jeong builds AI for real life and supports an ecosystem where diverse, independent builders can turn ideas into products.
Thursday August 13, 2026 14:50 - 15:15 KST
Grand Ballroom 2 + 3

15:45 KST

Workshop: MCP on Mobile: How Far Have We Come? - Sasha Denisov, Brainform.ai
Thursday August 13, 2026 15:45 - 16:15 KST
When people talk about MCP, they think of a server protocol for desktop AI — Claude Desktop reading the filesystem, Cursor calling git, MCP servers humming on cloud infrastructure. But there's a whole other world that rarely shows up in the conversation: phones, smart watches, glasses, cars, robots, embedded edge devices. They all have mature SDKs, many can run small AI models locally, and almost none have an agentic tool layer to speak of. The natural question is: why isn't MCP there yet?
Turns out it can be — and is starting to be. This talk is about MCP in the mobile and broader smart-device world: what scenarios already work today, what's just landing, and what becomes possible when a device is no longer just a client to a cloud agent but a peer in a multi-device agentic system. We'll cover phones that host their own MCP servers exposing device capabilities, phones running an entire agent loop on-device with no network, system-level integrations Apple and Google are bringing through App Intents and AICore, and hybrid setups where local and cloud servers share one tool registry — then extend the picture beyond phones to glasses, cars, watches, and embedded edge
Speakers
avatar for Sasha Denisov

Sasha Denisov

CTO, Brainform.ai
Sasha is CTO at Brainform.ai with 20+ years architecting scalable systems across frontend, backend, cloud, mobile, and AI — from cloud-based generative AI to on-device solutions. He delivers production-ready solutions across fintech, digital media, and entertainment. He's a Google... Read More →
Thursday August 13, 2026 15:45 - 16:15 KST
Grand Ballroom 2 + 3

16:15 KST

16:45 KST

 
Friday, August 14
 

09:30 KST

Keynote: Welcome Back - Demetrios Brinkmann, Member Non-Technical Staff, Agentic AI Foundation
Friday August 14, 2026 09:30 - 09:40 KST

Speakers
avatar for Demetrios Brinkmann

Demetrios Brinkmann

Member Non-Technical Staff, Agentic AI Foundation

Friday August 14, 2026 09:30 - 09:40 KST
Grand Ballroom 2 + 3

09:45 KST

Keynote: From AI Investment to Business Impact: An Enterprise MCP Playbook for the Agentic Era - HyunSoo Kim, Solutions Architect, Workato
Friday August 14, 2026 09:45 - 10:00 KST
Despite growing investment in AI, most enterprises still struggle to convert adoption into measurable business results. This session breaks down the structural root causes behind that execution gap and the operational risks created as AI agents proliferate across the organization. We'll then introduce Enterprise MCP, a governance and control framework built for enterprise-level AI oversight, covering how to design performance measurement systems and take a practical approach to agent-based automation that scales safely.
Speakers
avatar for HyunSoo Kim

HyunSoo Kim

Solutions Architect, Workato
A specialist who has led the market entry and expansion of global enterprise solutions in Korea, driving numerous enterprise digital transformation projects. Currently leads enterprise AX (automation transformation) strategy at Workato, helping organizations turn AI investment into... Read More →
Friday August 14, 2026 09:45 - 10:00 KST
Grand Ballroom 2 + 3

10:00 KST

Keynote: Beyond Protocol Compatibility: Building an Interoperable Agent Ecosystem - Woo Hyung Choi, Principal Solutions Architect, Amazon Web Services
Friday August 14, 2026 10:00 - 10:10 KST
Connecting AI agents and exchanging data is only the first step toward enterprise adoption. True interoperability requires common approaches for identity, authorization, governance, observability, and communication across heterogeneous systems built by different vendors.
This keynote explores the broader industry challenge of building interoperable agent ecosystems and presents AWS’s experience supporting multi-agent collaboration across both the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication models. The session will discuss architectural patterns and enterprise considerations for enabling secure, scalable, and interoperable AI agents built on open standards, while sharing practical lessons learned from real-world deployments.
Attendees will gain practical insights into the future of interoperable AI agent infrastructure, the role of open standards in accelerating enterprise AI adoption, and the architectural foundations needed to build secure, scalable, and production-ready agent ecosystems.

Speakers
avatar for Woo Hyung Choi

Woo Hyung Choi

Principal Solutions Architect, Amazon Web Services (AWS)
Woo Hyung Choi is a Principal Solutions Architect at Amazon Web Services (AWS), where he helps leading enterprises in Korea modernize their platforms and accelerate innovation through cloud and AI technologies. With 26 years of experience driving IT platform transformation, he has... Read More →
Friday August 14, 2026 10:00 - 10:10 KST
Grand Ballroom 2 + 3

10:40 KST

From API To Agent: Building a Video Intelligence MCP Server and Plugin Ecosystem - James Le, TwelveLabs
Friday August 14, 2026 10:40 - 11:05 KST
Video intelligence is an unusual MCP workload. Operations are asynchronous and long-running (indexing a 30-minute video takes minutes, not milliseconds), inputs span local files and remote URLs, and the tool surface is wide; search, analysis, embeddings, and entity recognition each carry distinct parameter shapes and response patterns.

When we set out to build a production MCP server for TwelveLabs' video understanding platform, these constraints became a useful stress test for the protocol itself. This talk traces the builder's journey from first commit to published npm package (twelvelabs-mcp), covering the decisions that shaped a 19-tool MCP server and the patterns that emerged along the way.

Attendees will leave with concrete patterns for building MCP servers around API-first platforms (particularly those with async workflows, multimodal inputs, and wide tool surfaces), along with a clear picture of how MCP servers can evolve into full agent plugins.
Speakers
avatar for James Le

James Le

Head of Developer Experience, TwelveLabs
James Le is currently leading Developer Experience at Twelve Labs, a startup building foundation models for video understanding.

Previously, he worked at MLOps startups Superb AI and Snorkel AI and taught production ML content with Full Stack Deep Learning.

He is also the host of Datacast, a podcast following the narrative journey of founders, operators, and investors in the data and AI infrastructure space to unpack the careers that they have built... Read More →
Friday August 14, 2026 10:40 - 11:05 KST
Grand Ballroom 2 + 3

11:10 KST

When Does an Agentic Workflow Need MCP? Matching Intelligence and Interfaces to the Outcome - Junho Kong, SK On
Friday August 14, 2026 11:10 - 11:35 KST
Using AI efficiently begins with the outcome—but model choice is only one part of the design decision. As coding agents become more capable, teams must also decide when an agent should explore and generate code, when a validated method should become a reusable template, when a fixed application only needs an API, and when multiple agent experiences justify a shared MCP interface.

Drawing on recurring questions from the Codex developer community, this session connects two examples. An early-stage Science Agent Leaderboard project from the PseudoLab community illustrates how agents can build executable solutions, and why generated work must be evaluated for correctness, cost, and reproducibility rather than judged by the answer alone. A public, synthetic rare-defect analytics example then shows how a data-science method can move from Codex-assisted exploration to evaluation, human review, versioned code, and reusable templates.

The session concludes with an illustrative air-gapped architecture in which fixed analytics applications use APIs, while on-prem coding agents and analytics chatbots can access selected, validated capabilities through a small MCP surface.
Speakers
avatar for Junho Kong

Junho Kong

AI Platform Architect, SK On
Junho is an  at SK On and a Codex Ambassador
working at the intersection of agentic engineering, AI platforms, developer tools, and community education. He leads and supports developer community initiatives around Codex and AI-assisted software development, helping developers move from ad-hoc AI usage toward more structured... Read More →
Friday August 14, 2026 11:10 - 11:35 KST
Grand Ballroom 2 + 3

11:40 KST

Skills and MCP: Complementary, Not Competing - Dale Seo, Apollo GraphQL
Friday August 14, 2026 11:40 - 12:05 KST
MCP has solved a critical problem: giving AI agents access to external tools and data. But access alone isn't enough. An agent with a database tool can still write terrible queries. An agent with a deployment tool can still push unsafe changes. The gap isn't access. It's expertise. Agent Skills are a lightweight format for encoding the domain knowledge agents need to use tools well. A common misconception is that Skills replace MCP. They don't. MCP provides capabilities: live connections to real systems. Skills provide knowledge: patterns to follow, mistakes to avoid, conventions a team considers non-negotiable. Skills ensure an agent does things right. MCP ensures it does real things. You need both. In this talk, I'll show how they work together through real examples. You'll see agents that call tools with the right arguments, handle edge cases, and recover from errors like an experienced developer would. As the creator of Apollo MCP Server and Apollo Skills, I've built on both sides of this equation and will share the challenges of shipping both: distributing them together, keeping them in sync, and evaluating if they still add value as models get smarter.
Speakers
avatar for Dale Seo

Dale Seo

Software Engineer, Apollo GraphQL
Helping developers help the world 🧑‍🚀🚀
Friday August 14, 2026 11:40 - 12:05 KST
Grand Ballroom 2 + 3

13:35 KST

Why We Made Our AI Agent Platform a Codebase Before Adding MCP - Navtej Reddy, Observe.ai
Friday August 14, 2026 13:35 - 14:00 KST
Six months ago, building a voice AI agent on our platform meant clicking through a UI. This meant editing prompts, dragging conversation flows, hooking up tools with no audit, no rollback, no review. To make the platform work better with MCP, we moved everything to a Git-backed harness. Each agent is now its own repo with skill folders and an agent.md capturing the agent's custom instructions and unique nuances, so when a customer points Cursor or Claude at it via MCP, the AI picks up that context before making any changes.

This talk covers:
(1) the org-change journey from clickops to version control
(2) the sandboxing model, how MCP safely exposes Git's branch model (dual read/write endpoints, tool-layer branch protection, SSO-derived org scoping)
(3) the two-stage CI on every PR, MCP-driven changes ride the same rails as human-authored ones, with simulations followed by automated evaluations
(4) the closed-loop flow that ties it all together, a user files an issue with a test scenario on an agent's page, the sandboxed AI makes the change, validates it, and submits a PR for review using MCP.
Speakers
avatar for Navtej Reddy

Navtej Reddy

Software Engineer 2, Observe.ai
Navtej Reddy is a software engineer at Observe AI, where he built the flow-based voice agent framework that powers 10,000+ daily customer calls and led the MCP integration described in this talk. He's also a Springer (2025) author on AI-driven incident debugging. CS graduate of PES... Read More →
Friday August 14, 2026 13:35 - 14:00 KST
Grand Ballroom 2 + 3

14:05 KST

Self-Improving MCP Agents - Kemal Elmizan, GoTo Company
Friday August 14, 2026 14:05 - 14:30 KST
Most MCP systems today are static at runtime. We define tools, expose schemas and rely on prompts to guide behavior, then hope the system remains reliable after deployment.

In practice, MCP-based systems drift. Agents repeatedly misuse tools, call inefficient sequences or fail in predictable ways. Tool descriptions become outdated. Context grows noisy. Human operators step in to correct outcomes, but those corrections are rarely captured or reused. MCP standardizes how agents connect to tools, but it does not define how systems improve over time.

I would like to explore how to build MCP systems that go beyond execution by introducing feedback loops on top of the protocol. By combining tool call history and observability, we can build systems that identify their own weaknesses and suggest improvements safely.

The session will cover practical patterns:
- Detecting repeated tool misuse and failure patterns
- Learning from retries, fallbacks, and human corrections
- Identifying redundant or low-value tool chains
- Designing safe feedback loops with audit logs, versioning, rollback and human approval
Speakers
avatar for Kemal Elmizan

Kemal Elmizan

Lead Software Engineer, GoTo Company
Hi there! I am Kemal Elmizan, currently working as a Software Engineer at Gojek (GoTo Company). I like building software across the stack and like to understand what's going on beneath the surface. I have extensive experience in backend, web, and android development. I have lectured... Read More →
Friday August 14, 2026 14:05 - 14:30 KST
Grand Ballroom 2 + 3
  Building with MCP
  • Slides Attached Yes

14:35 KST

Managing Token Usage in MCP Servers Using Code Mode - Bhumika Satpathy, Google
Friday August 14, 2026 14:35 - 15:00 KST
As the ecosystem for the Model Context Protocol (MCP) expands, developers are hitting a familiar wall: token bloat. While MCP provides a powerful standardized interface for LLMs to interact with external data, the "context tax" of verbose tool definitions and massive data payloads can quickly degrade performance and spike costs. To build production-ready agents, we must move beyond basic implementations and embrace advanced orchestration.

This session dives into the architecture of efficient MCP server design, focusing on the "Code Mode" technique. We will explore how to shift the heavy lifting from the LLM’s reasoning space to the server’s execution environment. Instead of forcing the model to process raw, unrefined data, "Code Mode" empowers the LLM to generate and ship logic—miniature, execution-ready scripts—directly to the MCP server. This approach minimizes round-trip latency and drastically reduces the input tokens required for complex data manipulation.
Speakers
avatar for Bhumika Satpathy

Bhumika Satpathy

Senior Software Engineer, Google
I am a Senior Software Engineer at Google and have been working with the MCP Platform team which helps to ease out creation and deployment of MCP Servers for developers within Google. We have solved multitude of challenges that users have faced and explored multiple techniques in... Read More →
Friday August 14, 2026 14:35 - 15:00 KST
Grand Ballroom 2 + 3
 
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