MCP Dev Summit Seoul 2026: Full Schedule

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

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

Keynote Sessions

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

Grand Ballroom 2 + 3

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

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

Keynote Sessions

10:10 KST

Break

Friday August 14, 2026 10:10 - 10:40 KST

Grand Ballroom Foyer

Friday August 14, 2026 10:10 - 10:40 KST
Grand Ballroom Foyer

Registration / Breaks / Special Events

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

Grand Ballroom 2 + 3

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

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

Building with MCP

10:40 KST

The 5 Wrong Reasons to Build an MCP Server (And What to Do Instead) - Daniel Oh, Red Hat

Friday August 14, 2026 10:40 - 11:05 KST

Orchid 1

MCP brings structure and standardization to how LLMs interact with tools and resources—but that power comes with cost. We’ve built multiple MCP servers across different use cases, and not all of them should have existed.
This session distills hard-earned lessons from real-world implementations: where MCP created long-term leverage, where it introduced unnecessary complexity, and where a direct API call would have shipped faster and cleaner. We’ll share a clear evaluation checklist you can use before starting your next build—so you choose MCP intentionally, not reflexively.

Speakers

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

Friday August 14, 2026 10:40 - 11:05 KST
Orchid 1

Building with MCP

10:40 KST

When MCP Tools Fail: Reliable ML Inference for MCP Agents - Sho Tanaka, Snowflake

Friday August 14, 2026 10:40 - 11:05 KST

Orchid 2

The Model Context Protocol (MCP) is emerging as a standard for connecting AI agents with external tools. While LLM-based tools are flexible, their non-deterministic behavior makes it difficult to meet requirements for stability, repeatability, and auditability in production systems. In such cases, traditional machine learning models provide more predictable inference and are often preferred for system-critical decisions.

However, ML-powered tools are not free from challenges. Latency, failures, and integration issues can propagate through MCP systems and impact agent behavior, leading to inconsistent decisions, repeated retries, or silent failures.

This session explores what happens when MCP tools fail and how to design systems that remain reliable under such conditions. We present a reproducible demo of failure scenarios, including latency spikes and unstable predictions, and show their impact on agent behavior. We then introduce practical design patterns—such as timeout and retry strategies and observability—to build reliable MCP-based systems.

Attendees will gain concrete techniques to design trustworthy AI systems that remain stable in real-world environments.

Speakers

Sho Tanaka

Lead Developer Advocate, Snowflake

Sho Tanaka is a Lead Developer Advocate at Snowflake, focused on AI/ML and data engineering. He previously worked at Google (gTech) delivering ML/Data solutions across Japan, APAC and global. He is a Google Developer Expert (AI/ML) and a co-founder of the MLOps community in Japan... Read More →

Friday August 14, 2026 10:40 - 11:05 KST
Orchid 2

Security + Identity + Trust

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

Grand Ballroom 2 + 3

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

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

Agent Architecture + Orchestration

11:10 KST

Beyond APIs: Making MCP Services Faster and Secure With WebAssembly - Brandon Kang, Akamai Technologies

Friday August 14, 2026 11:10 - 11:35 KST

Orchid 2

As MCP adoption grows, most implementations focus on defining tools and integrating APIs, but far less attention is given to how these tools are actually executed. In production environments often introduces real challenges in both security and performance.

In this session, we explore how WebAssembly fundamentally changes this model by providing a secure and high-performance execution layer. We'll also work through how MCP tools can run inside a sandboxed WebAssembly runtime, where access to the file system, network, and environment is explicitly controlled. This significantly reduces the attack surface compared to traditional server-side execution models, especially in multi-tenant and agent-driven environments.

From a performance perspective, WebAssembly enables near-native execution speed with extremely fast startup times. WebAssembly modules can start in milliseconds, making them ideal for MCP workloads where tools are invoked frequently and latency directly impacts agent responsiveness.
We will also cover authentication patterns such as OAuth and JWT, and explain how a “secret-less” architecture can be achieved by isolating credentials outside of the execution runtime.

Speakers

Brandon Kang

Principal Technical Solutions Architect, Akamai Technologies

Brandon Kang is a Principal Technical Solutions Architect at Akamai Technologies, overseeing cloud computing products and cloud-native initiatives across Asian countries.

Before joining Akamai, he held key roles in leading technology companies, including serving as a software e... Read More →

MCP DevSummit Seoul Brandon pdf

Friday August 14, 2026 11:10 - 11:35 KST
Orchid 2

Security + Identity + Trust

11:10 KST

MCP Authorization: What an IAM Engineer Sees That You Might Miss - Thumula Perera, WSO2

Friday August 14, 2026 11:10 - 11:35 KST

Orchid 1

I spent four years building identity systems. When I read the MCP authorization spec, I recognized the building blocks: OAuth 2.1, PKCE, Dynamic Client Registration. I also recognized where it goes quiet on the hard parts.

Three gaps stand out.

Scopes are defined at the transport level, not the tool level. A token grants access to an MCP server, but says nothing about which tools the client can call.

Agent chain identity has no standard answer. The spec is silent on server-to-server authentication, and the client credentials grant for agent-to-agent scenarios is only now returning as a draft extension.

Dynamic Client Registration brings lifecycle problems. RFC 7592 for client management is not widely supported, and multiple clients sharing an OAuth client ID is a risk teams hit without realizing it.

I'm not an MCP insider. This talk maps four years of API and identity work onto problems MCP teams are running into right now.

Speakers

Thumula Perera

Senior Software Engineer, WSO2

Software engineer with four years at WSO2. Spent the first part on the Identity and Access Management team, working on WSO2 Identity Server and Asgardeo. Also.worked with the Choreo team, where I worked on both system IAM and developer IAM.

Friday August 14, 2026 11:10 - 11:35 KST
Orchid 1

Security + Identity + Trust

11:40 KST

From Chaebol to Cloud-Native: MCP Agent Platforms Inside Korea's Manufacturing Giants - Yogesh Sardana, Independent

Friday August 14, 2026 11:40 - 12:05 KST

Orchid 2

Korea's industrial conglomerates—chaebols like Samsung, SK Hynix, Hyundai, LG, and POSCO—operate the most sophisticated manufacturing ecosystems on the planet. Behind the scenes, each utilizes thousands of highly proprietary, heavily siloed Operational Technology (OT) and Information Technology (IT) systems resulting from decades of organic growth and acquisitions. Currently, engineers waste weeks manually extracting, normalizing, and correlating data from these isolated environments before any advanced AI analysis can even begin. This session explores the transformative role of the Model Context Protocol acting as a universal, cloud-native translation layer. We will reveal how manufacturing giants are utilizing Kubernetes-hosted MCP platforms to seamlessly bridge legacy industrial control systems with modern AI agents, radically accelerating industrial intelligence.

Speakers

Yogesh Sardana

AI, Cloud Engineering Leader & Researcher, Independent

Friday August 14, 2026 11:40 - 12:05 KST
Orchid 2

Building with MCP

11:40 KST

Skills and MCP: Complementary, Not Competing - Dale Seo, Apollo GraphQL

Friday August 14, 2026 11:40 - 12:05 KST

Grand Ballroom 2 + 3

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

Dale Seo

Software Engineer, Apollo GraphQL

Helping developers help the world 🧑‍🚀🚀

Friday August 14, 2026 11:40 - 12:05 KST
Grand Ballroom 2 + 3

MCP Protocol in Depth

11:40 KST

Hardening MCP Integrations Against Tool Poisoning - Arshardh Ifthikar, WSO2

Friday August 14, 2026 11:40 - 12:05 KST

Orchid 1

As MCP adoption grows, tools are becoming the primary interface between agents and external systems. This introduces a new class of risks: tool poisoning, where tool definitions, inputs, or outputs are manipulated to influence agent behavior in unintended ways.
This talk focuses on practical experience identifying and mitigating tool poisoning in MCP-based systems. Early implementations often assumed tools were trustworthy, but in practice we encountered issues such as ambiguous tool descriptions, unsafe parameter handling, and outputs that could steer agents off course.
We will walk through concrete examples of how these failures surfaced, and the patterns that proved more reliable. This includes validating tool contracts, detecting anomalous inputs and outputs, constraining tool usage, and introducing safeguards around execution flow.
Rather than proposing a single framework, the session presents a set of techniques that can be applied incrementally to existing MCP setups. The goal is to help teams better understand how tool poisoning occurs in real systems, and how to design MCP tools that remain predictable and safe under agent-driven use.

Speakers

Arshardh Ifthikar

Technical Lead, AI, WSO2

Arshardh Ifthikar specializes in the intersection of API infrastructure and Generative AI. Leveraging deep expertise in enterprise API Management, he focuses on hardening Model Context Protocol (MCP) implementations for production environments. His work centers on securing the "agent... Read More →

Friday August 14, 2026 11:40 - 12:05 KST
Orchid 1

Security + Identity + Trust

12:05 KST

Lunch

Friday August 14, 2026 12:05 - 13:35 KST

Grand Ballroom Foyer

Friday August 14, 2026 12:05 - 13:35 KST
Grand Ballroom Foyer

Registration / Breaks / Special Events

13:35 KST

Building and Testing MCP Servers With the Inspector, Conformance Suites, and Property-Based Testing - Navin Pai, StackGen

Friday August 14, 2026 13:35 - 14:00 KST

Orchid 1

MCP gained popularity because it was as easy as building a REST API. Infact, many might say, building an MCP Server is a bit too easy. Shipping a broken MCP server into a pool of a hundred others is easy but shipping one that actually behaves correctly under adversarial clients, malformed inputs, and edge-case tool schemas is hard.

Devs have already built tens of thousands of MCP servers, and recent spec revisions have focused on richer tool annotations, structured tool outputs, and clearer security best practices, all of which introduce new failure modes to test for.

This session covers a complete testing pyramid for MCP servers: using the official MCP Inspector for interactive tracing, writing conformance tests against the JSON Schema tool definitions, and applying property-based testing (with tools likeHypothesis in Python or fast-check in TypeScript) to fuzz tool inputs and surface schema violations before clients do. We'll also walk through how to set up a CI pipeline that runs your MCP server against a spec conformance suite on every pull request, and how to lint tool descriptions for ambiguity that could confuse real LLM clients.

Speakers

Navin Pai

Director of Engineering, StackGen

Navin is a Founding Engineer at OpsVerse. You'll often find him on the internet, getting into flamewars about observability, large scale system design, and open source software

mcp test slides pdf

Friday August 14, 2026 13:35 - 14:00 KST
Orchid 1

Building with MCP

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

Grand Ballroom 2 + 3

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

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

Building with MCP

13:35 KST

Your MCP Server Behaves Differently in Every Client: A Cross-Client Field Guide for Server Authors - Tanisha Sharma, Bolna & Animesh Pathak, Harness

Friday August 14, 2026 13:35 - 14:00 KST

Orchid 2

Same MCP server. Same prompt. Three different IDEs. Three different outcomes — and one of them is silently wrong.

After documenting a production MCP server across Cursor, Claude Desktop, and Windsurf, the speaker has the war stories. Tool descriptions one client truncates and another expands. Resource limits that vary by 10x. Notification semantics that work in one host and silently no-op in another. OAuth flows that route through different dances depending on the client. Session-lifetime assumptions that turn into "why did my context vanish?" support tickets.

This talk is a field guide, organized by client, with the actual diffs server authors should care about. Live side-by-side traces of the same tool call across three clients, showing where each one quietly diverges from the spec — and the small defensive changes (in tool naming, description length, error semantics) that make a single server work the same way in all three.

Closes with a proposal: a "client compatibility matrix" the MCP ecosystem should publish and maintain, modeled on Can I Use for the web.

For MCP server authors who have only ever tested in one client.

Speakers

Animesh Pathak

DevRel Engineer, Harness

I'm Animesh Pathak - a Developer Relations Engineer currently at Harness, focused on Database DevOps, APIs, testing, and open-source innovation. Previously, I worked at Keploy where I evangelized eBPF-based testing tools.

Tanisha Sharma

AI DevRel Engineer, Bolna

Tanisha is an AI Developer Advocate specializing in production multi-agent systems. Also a private pilot. Both pursuits taught her the same lesson: know when to trust automation and when human judgment matters most.

Friday August 14, 2026 13:35 - 14:00 KST
Orchid 2

Building with MCP

14:05 KST

Closing the Context Gap: Making Your APIs Agent-Ready - Aanchal Mishra, Postman & Ali Mustafa Shaikh, Pieces AI

Friday August 14, 2026 14:05 - 14:30 KST

Orchid 1

Traditional AI implementation relies on "tool sprawl": manually wrapping every API action into custom functions. This creates a maintenance burden where prompts swell, tokens vanish, and agents hallucinate under the weight of excessive choice. At Postman, we’ve shifted the paradigm: instead of teaching agents how an app works, we provide them with structured context they already understand through the MCP.

This session moves beyond theory to demonstrate a live "AI Readiness" workflow using Postman’s native Git integration. We will pit a well-defined OpenAPI schema against a poorly designed one to visualize the "Context Tax" - showing how architectural debt leads to 2x higher token usage and fumbled execution. By leveraging Postman’s MCP Server generator and CLI SDKs, I’ll demonstrate how to transform static documentation into active "code skills" that agents like Claude can navigate autonomously. Attendees will learn to build APIs that don't just return data, but serve as high-fidelity maps for the next generation of autonomous agents.

Speakers

Ali Mustufa Shaikh

Senior Developer Advocate, Pieces AI

I empower developers to overcome traditional education barriers, building their confidence for professional success. Through technical training at leading organizations - including Rakuten, Infosys Deloitte and Open Dealer Exchange I've guided professionals worldwide in Google Cloud... Read More →

Aanchal Mishra

Developer Advocate, Postman, Postman

Aanchal is a Developer Advocate at Postman specializing in Agentic Workflows, API Literacy, and Developer Education. With 5+ years of experience, she has designed global learning paths reaching thousands of developers and delivered over 150 technical workshops across 35+ cities. A... Read More →

Friday August 14, 2026 14:05 - 14:30 KST
Orchid 1

Building with MCP

14:05 KST

Self-Improving MCP Agents - Kemal Elmizan, GoTo Company

Friday August 14, 2026 14:05 - 14:30 KST

Grand Ballroom 2 + 3

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

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 →

MCP DevSummit Seoul Kemal Elmizan pdf

Friday August 14, 2026 14:05 - 14:30 KST
Grand Ballroom 2 + 3

Building with MCP

Slides Attached Yes

14:05 KST

When AI Agents Need Eyes: What MCP Can and Cannot Standardize for Computer Vision - Seowoo Han, B GARAGE

Friday August 14, 2026 14:05 - 14:30 KST

Orchid 2

AI agents are increasingly expected to work with visual information: documents, screenshots, cameras, inspection images, and other domain-specific signals. MCP gives developers a powerful way to expose these capabilities as discoverable tools and resources, but real-world computer vision brings challenges that do not disappear behind a simple tool call, including image quality, sensor differences, domain shift, uncertainty, validation, and human review.

In this session, I will explore practical patterns for integrating computer vision into the MCP ecosystem, including OCR, object detection, visual monitoring, and domain-specific inspection tools. The talk will focus on what MCP can standardize for agent-facing vision systems, what should remain domain-specific, and how developers can design safer, more reliable interfaces between AI agents and visual perception.

Speakers

Seowoo Han

Computer Vision Engineer / AI Engineer, B GARAGE

Seowoo Han is an AI Engineer and Computer Vision Engineer based in Korea, with 5+ years of experience building production-grade AI systems across OCR, object detection, drone-based visual inspection, edge video analytics, multimodal AI, RAG, and agentic workflows. She currently works... Read More →

Friday August 14, 2026 14:05 - 14:30 KST
Orchid 2

MCP Protocol in Depth

14:35 KST

Managing Token Usage in MCP Servers Using Code Mode - Bhumika Satpathy, Google

Friday August 14, 2026 14:35 - 15:00 KST

Grand Ballroom 2 + 3

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

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

Building with MCP

14:35 KST

Operating an AI Infrastructure Through MCP Apps on Agents - HyounKyoung Moon, Lablup

Friday August 14, 2026 14:35 - 15:00 KST

Orchid 2

GPU infrastructure has traditionally been operated through CLIs, dashboards, and a patchwork of admin tools. Each task — checking cluster state, allocating resources, launching sessions — forces the operator to switch context and stitch results together manually.

MCP changes the surface of this work. By exposing infrastructure operations as MCP tools, an agent can carry out cluster tasks on the operator's behalf. And with MCP Apps (SEP-1865), the agent doesn't just respond in text — it renders interactive UIs inline, so the operator can see the cluster, review the agent's plan, and approve actions visually within the same conversation.

This talk shows how an agent embedded in an MCP host can manage GPU infrastructure efficiently by combining:

- **Visual control via MCP Apps** — the agent renders cluster status views, resource allocation charts, and confirmation cards inline. The operator sees the infrastructure, reviews the plan, and clicks to approve.
- **Session-level control via MCP** — the agent creates, inspects, and modifies compute sessions through MCP tool calls.
- **Human-in-the-loop by design** — visual checkpoints make every consequential action explicit

Speakers

HyounKyoung Moon

AI Agentic Lead, Lablup

AI Product Engineer who builds AI Agent Platform and AI-first products across diverse stacks

Friday August 14, 2026 14:35 - 15:00 KST
Orchid 2

Building with MCP

14:35 KST

Two Audiences, One Markdown File: Writing MCP Docs an Agent Can Actually Use - Tanisha Sharma, Bolna & Jyoti Bisht, Independent

Friday August 14, 2026 14:35 - 15:00 KST

Orchid 1

When an MCP server exposes documentation.search and documentation.fetch, its docs site quietly acquires a second reader: the agent. And the agent is not a small human. Humans want narrative tutorials; agents want flat, deduplicated, single-source-of-truth pages. Humans skim; agents tokenize. Humans tolerate ambiguity; agents hallucinate from it.

This talk is a field report from rewriting an MCP server's documentation to serve both audiences from one markdown source. Concrete before/after pages, real agent traces from the SuprSend MCP server (used as a case study not a pitch), the five rewrite rules that actually moved the needle on hallucination rates, and the surprising downstream effect: the human-facing docs got better too. Every rule generalizes to any MCP server with public docs.

Closes with two open questions the audience is invited to argue back at: should agent-facing docs be a separate channel? Should MCP add a "documentation" primitive at the protocol level?

For DevRels, technical writers, and MCP server maintainers who already exposed their docs as a tool or are about to.

Speakers

Jyoti Bisht

DevRel Engineer, Independent

Tanisha Sharma

AI DevRel Engineer, Bolna

Friday August 14, 2026 14:35 - 15:00 KST
Orchid 1

Building with MCP

15:00 KST

Farewell Networking Break

Friday August 14, 2026 15:00 - 16:00 KST

Grand Ballroom Foyer

Friday August 14, 2026 15:00 - 16:00 KST
Grand Ballroom Foyer

Registration / Breaks / Special Events

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