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mixed-format event agenda agenda analysis

13 Aug MCP Dev Summit Seoul 2026 Conference

This mixed-format event agenda in Technology / AI / Startup shows 34 visible agenda rows from mcpseoul2026.sched.com and scores 45/100: a moderate design signal with incomplete evidence. The clearest public signals sit in Future-of-Work Fit and Learning Transfer; the main limits are Follow Through and Network Design. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read as design intent... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as a mixed-format event agenda, with the strongest visible signal in future-of-work fit and learning transfer and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the moderate design signal band. The strongest visible pillars are Future-of-Work Fit, Learning Transfer, and Participation Architecture; the thinnest visible pillars are Follow Through, Network Design, and Personalization. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The extracted agenda preview includes 68 visible rows. The most common formats are Keynote, Unknown, and Presentation; the most common inferred purposes are Unknown, Knowledge Transfer, and Expert Framing.

Primary source evidence: mcpseoul2026.sched.com ↗ · Archived copy (2026-07-03)

Eight-pillar fingerprint

Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.

Participation Architecture?57
Participation Architecture - 57/100. Participant work, contribution, interaction, and alternatives to passive broadcast.
Follow Through?5
Follow Through - 5/100. Owners, dates, commitments, progress checks, and accountability after the room.Missing: Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
Problem Specificity?52
Problem Specificity - 52/100. A clear costly problem, objective, decision, or performance target.
Personalization?40
Personalization - 40/100. Role, path, goal, preparation, or connection tailoring for participants.Missing: Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Network Design?32
Network Design - 32/100. Structured weak ties, bridge-building, mixers, and relationship persistence.Missing: Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Learning Transfer?63
Learning Transfer - 63/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?45
Evidence Maturity - 45/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?76
Future-of-Work Fit - 76/100. Value against time, hybrid reality, accessibility, AI, and meeting load.

Fix the gaps

Field-tested exercises matched to this agenda's weakest pillars, from the exercise library.

Agenda Preview

The actual agenda we captured. Every block is classified by format and purpose. Open any block to see how we read it; the colored edge shows whether it is participant work, broadcast, logistics, or a showcase.

Room vs wrapper

18 percent of the 68 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.

12
44
12
Participant workBroadcastShowcaseLogistics
08:30Registration + Badge Pick-up Grand Ballroom FoyerRegistrationLogistics+
Format · LogisticsRegistrationCheck-in and logistics, not agenda content.
Evidence basisOutcome inferred from formatInferred from format
09:30Keynote: Welcome & Opening Remarks - Demetrios Brinkmann, Member Non-Technical Staff, Agentic AI Foundation Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
09:45Keynote: Two Years of MCP: State of The Ecosystem - Den Delimarsky, Member of Technical Staff, Anthropic Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:00Keynote: To Be Announced Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:10Keynote: A Cloud Service Provider's MCP Operations Story (From MCP Generator to MCP Gateway) - Jihye Kim, Backend Engineer, Naver Cloud Platform Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:25Break Grand Ballroom Foyer Solutions Showcase Grand Ballroom FoyerBreakShowcase+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
10:55Commanding SO101 With Agents - Anshuman Singh, Devfolio Orchid 1 Zero-Trust MCP: Treating Every Tool Call as an Untrusted API Request From the Outside World - Akshat Khanna & Unnati Mishra, Independent Grand Ballroom 1 + 2 Building MCP Servers and Agentic AI...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:25Building and Taming an MCP Server for Multi-Cloud Vibe Computing - Seokho Son, ETRI Orchid 1 MCP in Prod: An SRE & DevOps Guide to Not Getting Paged at 3 AM - Deep Poharkar, Obmondo Grand Ballroom 1 + 2PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:55The MCP Registry Problem: Why Discoverability Is the Bottleneck Killing Ecosystem Growth - Unnati Mishra, Independent Orchid 1 Secure MCP Servers in Production: A Practical Guide for Developers - Valeri Milke, VamiSec GmbH Grand Ballroom 1 + 2PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:20Lunch Grand Ballroom FoyerMealPacing+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisOutcome inferred from formatInferred from format
13:50Evolving an LLMOps Feedback System Into an MCP-Based Agent Architecture - Ian Y. Choi, AWS & Taeyoung Kim, AIFactory Orchid 1 Demystifying MCP Auth in Plain English - Rohit Ganguly, Descope Grand Ballroom 1 + 2PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
14:20Authorization in MCP Systems: Getting It Right From the Start - Aram Andreasyan, Cerbos Grand Ballroom 1 + 2PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
14:50Building Production MCP Servers in Go: Transports, Concurrency, and Tool Contracts - Rajiv Ranjan Singh, Maersk & Naman Lakhwani, Independent Orchid 1 Who Authorized That Agent? Identity and Policy Enforcement for MCP Tool Calls - Kaiwalya Koparkar, Gravitee...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
15:15Break Grand Ballroom FoyerBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
15:45Why Enterprise MCP Runs on Java - Kevin Dubois, IBM & Mauricio "Salaboy" Salatino, Dash0 Grand Ballroom 1 + 2 The Context Budget Crisis: Why MCP Needs Server-Side Response Controls - Nimit Savant & Gokul K S, DevRev Orchid 1 Workshop: MCP on Mobile: How Far...WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
16:15Plug & Play Petabytes With Elastic's MCP - Ashish Tiwari, Elastic Orchid 1 From APIs To Agentic Toolkits: Designing MCP Flavors and a Public MCP Gateway at Scale - Faizan Akhtar, React India Grand Ballroom 1 + 2 Workshop Continues: MCP on Mobile: How Far...WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
16:45From CRDs to Conversations: Simplifying Chaos Engineering With MCP - Pritesh Kiri, Harness Grand Ballroom 1 + 2 Three Gateways for the Agentic Era: An Architectural Framework for Governing AI Agent Traffic - Dakshitha Ratnayake, WS02 Orchid 1 Workshop...WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
17:10Attendee Reception Solutions ShowcaseReceptionShowcase+
Format · LogisticsReceptionA social or hospitality block. Pacing and informal connection, not participant work.
Evidence basisOutcome inferred from formatInferred from format
09:30Keynote: Welcome Back - Demetrios Brinkmann, Member Non-Technical Staff, Agentic AI Foundation Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
09:40Keynote: MCP Is the Easy Part - Baruch Sadogursky, Member of DevRel Staff, Tessl AI Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:15Keynote: After the Tool Call: What MCP Leaves Open and How to Close It - Viren Baraiya, CTO, Orkes and Co-Creator of Netflix Conductor Grand Ballroom 1 + 2KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:00From API To Agent: Building a Video Intelligence MCP Server and Plugin Ecosystem - James Le, TwelveLabs Grand Ballroom 1 + 2 When MCP Tools Fail: Reliable ML Inference for MCP Agents - Sho Tanaka, Snowflake Orchid 2WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
11:30From AGENTS.md to MCP: Practical Patterns for Agentic Engineering Adoption - Junho Kong, SK Ono Grand Ballroom 1 + 2 GraphQL Subscriptions as a Real-time Event Transport for MCP Agents - Akshat Sharma, Deskree Orchid 2 The Confused Deputy Problem in MCP:...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:00From Chaebol to Cloud-Native: MCP Agent Platforms Inside Korea's Manufacturing Giants - Yogesh Sardana, Independent Orchid 2 Skills and MCP: Complementary, Not Competing - Dale Seo, Apollo GraphQL Grand Ballroom 1 + 2 Hardening MCP Integrations Against Tool...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:30Why We Made Our AI Agent Platform a Codebase Before Adding MCP - Navtej Reddy, Observe.ai Grand Ballroom 1 + 2 Your MCP Server Behaves Differently in Every Client: A Cross-Client Field Guide for Server Authors - Tanisha Sharma, SuprSend Orchid 2 MCP...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
14:25Closing the Context Gap: Making Your APIs Agent-Ready With Postman’s Native Git Integration - Aanchal Mishra, Postman & Ali Mustafa Shaikh, Pieces AI Orchid 1 Self-Improving MCP Agents - Kemal Elmizan, GoTo Company Grand Ballroom 1 + 2 When AI Agents Need...ClosingOrientation+
Format · BroadcastClosingFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
14:55Managing Token Usage in MCP Servers Using Code Mode - Bhumika Satpathy, Google Grand Ballroom 1 + 2 Operating an AI Infrastructure Through MCP Apps on Agents - HyounKyoung Moon, Lablup Orchid 2 Two Audiences, One Markdown File: Writing MCP Docs an Agent Can...WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
15:25From 40 Tools To 14: A Practical Framework for MCP Tool Curation - Nimit Savant & Gokul K S, DevRev Orchid 1 From Legacy To Agentic AI - Seoyul Yoon, SK AX Grand Ballroom 1 + 2 From CVEs To Kill Switches: Hardening the MCP Supply Chain End-to-End - Unnati...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:05Building and Testing MCP Servers With the Inspector, Conformance Suites, and Property-Based Testing - Navin Pai, StackGen Orchid 2 My Computer's Purchasing? Enabling Agentic Commerce With MCP - Rohit Ganguly, Descope Grand Ballroom 1 + 2 Beyond APIs: Making...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:35Dead Reckoning for AI Agents: Building Fault-Tolerant MCP State Machines Without a Map - Akshat Khanna, Independent Grand Ballroom 1 + 2 Stop Wrapping APIs: Building Structured Execution Boundaries With MCP for Incident Triage - Sunyoung Park, KC-ML2 Orchid...NetworkingRelationship building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisOutcome inferred from formatInferred from format
17:05From Scripts To Systems: Building Appium MCP for Real-World Automation - Swastik Baranwal & Navin Chandra, TestMu AI (formerly LambdaTest) Orchid 1 When Dashboards Lie: Building MCP Tools That Chase Down the Truth - Hrittik Roy, vCluster & Aditya Soni,...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventKeynote SessionsKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventRegistration / Breaks / Special EventsRegistrationPacing+
Format · LogisticsRegistrationCheck-in and logistics, not agenda content.
Evidence basisOutcome inferred from formatInferred from format
all eventWorkshopsWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
08:30 Registration + Badge Pick-up Grand Ballroom FoyerRegistrationLogistics+
Format · LogisticsRegistrationCheck-in and logistics, not agenda content.
Evidence basisMediumRead from source
09:30 Keynote: Welcome & Opening Remarks - Demetrios Brinkmann, Member Non-Technical Staff, Agentic AI Foundation Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
09:45 Keynote: Two Years of MCP: State of The Ecosystem - Den Delimarsky, Member of Technical Staff, Anthropic Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
10:00 Keynote: To Be Announced Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
10:10 Keynote: A Cloud Service Provider's MCP Operations Story (From MCP Generator to MCP Gateway) - Jihye Kim, Backend Engineer, Naver Cloud Platform Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
10:25 Break Grand Ballroom Foyer Solutions Showcase Grand Ballroom FoyerDemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
10:55 Commanding SO101 With Agents - Anshuman Singh, Devfolio Orchid 1 Zero-Trust MCP: Treating Every Tool Call as an Untrusted API Request From the Outside World - Akshat Khanna & Unnati Mishra, Independent Grand Ballroom 1 + 2 Building MCP Servers and Agentic AI Workflows in Java - Kevin Dubois, IBM & Daniel Oh, Red Hat Orchid 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:25 Building and Taming an MCP Server for Multi-Cloud Vibe Computing - Seokho Son, ETRI Orchid 1 MCP in Prod: An SRE & DevOps Guide to Not Getting Paged at 3 AM - Deep Poharkar, Obmondo Grand Ballroom 1 + 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:55 The MCP Registry Problem: Why Discoverability Is the Bottleneck Killing Ecosystem Growth - Unnati Mishra, Independent Orchid 1 Secure MCP Servers in Production: A Practical Guide for Developers - Valeri Milke, VamiSec GmbH Grand Ballroom 1 + 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
12:20 Lunch Grand Ballroom FoyerMealWellbeing+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisMediumRead from source
13:50 Evolving an LLMOps Feedback System Into an MCP-Based Agent Architecture - Ian Y. Choi, AWS & Taeyoung Kim, AIFactory Orchid 1 Demystifying MCP Auth in Plain English - Rohit Ganguly, Descope Grand Ballroom 1 + 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
14:20 Authorization in MCP Systems: Getting It Right From the Start - Aram Andreasyan, Cerbos Grand Ballroom 1 + 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
14:50 Building Production MCP Servers in Go: Transports, Concurrency, and Tool Contracts - Rajiv Ranjan Singh, Maersk & Naman Lakhwani, Independent Orchid 1 Who Authorized That Agent? Identity and Policy Enforcement for MCP Tool Calls - Kaiwalya Koparkar, Gravitee Grand Ballroom 1 + 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
15:15 Break Grand Ballroom FoyerBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
15:45 Why Enterprise MCP Runs on Java - Kevin Dubois, IBM & Mauricio "Salaboy" Salatino, Dash0 Grand Ballroom 1 + 2 The Context Budget Crisis: Why MCP Needs Server-Side Response Controls - Nimit Savant & Gokul K S, DevRev Orchid 1 Workshop: MCP on Mobile: How Far Have We Come? - Sasha Denisov, Brainform.ai Orchid 2WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
16:15 Plug & Play Petabytes With Elastic's MCP - Ashish Tiwari, Elastic Orchid 1 From APIs To Agentic Toolkits: Designing MCP Flavors and a Public MCP Gateway at Scale - Faizan Akhtar, React India Grand Ballroom 1 + 2 Workshop Continues: MCP on Mobile: How Far Have We Come? - Sasha Denisov, Brainform.ai Orchid 2WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
16:45 From CRDs to Conversations: Simplifying Chaos Engineering With MCP - Pritesh Kiri, Harness Grand Ballroom 1 + 2 Three Gateways for the Agentic Era: An Architectural Framework for Governing AI Agent Traffic - Dakshitha Ratnayake, WS02 Orchid 1 Workshop Continues: MCP on Mobile: How Far Have We Come? - Sasha Denisov, Brainform.ai Orchid 2WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
17:10 Attendee Reception Solutions ShowcaseDemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
09:30 Keynote: Welcome Back - Demetrios Brinkmann, Member Non-Technical Staff, Agentic AI Foundation Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
09:40 Keynote: MCP Is the Easy Part - Baruch Sadogursky, Member of DevRel Staff, Tessl AI Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
10:15 Keynote: After the Tool Call: What MCP Leaves Open and How to Close It - Viren Baraiya, CTO, Orkes and Co-Creator of Netflix Conductor Grand Ballroom 1 + 2KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
11:00 From API To Agent: Building a Video Intelligence MCP Server and Plugin Ecosystem - James Le, TwelveLabs Grand Ballroom 1 + 2 When MCP Tools Fail: Reliable ML Inference for MCP Agents - Sho Tanaka, Snowflake Orchid 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:30 From AGENTS.md to MCP: Practical Patterns for Agentic Engineering Adoption - Junho Kong, SK Ono Grand Ballroom 1 + 2 GraphQL Subscriptions as a Real-time Event Transport for MCP Agents - Akshat Sharma, Deskree Orchid 2 The Confused Deputy Problem in MCP: Securing Chained Tool Calls in Multi-Agent Systems - Aviral Sapra, Linux Foundation Decentralized Trust & Ryan Madhuwala, Caracal Orchid 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
12:00 From Chaebol to Cloud-Native: MCP Agent Platforms Inside Korea's Manufacturing Giants - Yogesh Sardana, Independent Orchid 2 Skills and MCP: Complementary, Not Competing - Dale Seo, Apollo GraphQL Grand Ballroom 1 + 2 Hardening MCP Integrations Against Tool Poisoning - Arshardh Ifthikar, WSO2 Orchid 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
12:30 Why We Made Our AI Agent Platform a Codebase Before Adding MCP - Navtej Reddy, Observe.ai Grand Ballroom 1 + 2 Your MCP Server Behaves Differently in Every Client: A Cross-Client Field Guide for Server Authors - Tanisha Sharma, SuprSend Orchid 2 MCP Discovery Infrastructure: Registries, Trust, and Routing for Production Agents - Mahesh Lambe, ProjectNANDA.org Orchid 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
14:25 Closing the Context Gap: Making Your APIs Agent-Ready With Postman’s Native Git Integration - Aanchal Mishra, Postman & Ali Mustafa Shaikh, Pieces AI Orchid 1 Self-Improving MCP Agents - Kemal Elmizan, GoTo Company Grand Ballroom 1 + 2 When AI Agents Need Eyes: What MCP Can and Cannot Standardize for Computer Vision - Seowoo Han, B GARAGE Orchid 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
14:55 Managing Token Usage in MCP Servers Using Code Mode - Bhumika Satpathy, Google Grand Ballroom 1 + 2 Operating an AI Infrastructure Through MCP Apps on Agents - HyounKyoung Moon, Lablup Orchid 2 Two Audiences, One Markdown File: Writing MCP Docs an Agent Can Actually Use - Tanisha Sharma, SuprSend Orchid 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
15:25 From 40 Tools To 14: A Practical Framework for MCP Tool Curation - Nimit Savant & Gokul K S, DevRev Orchid 1 From Legacy To Agentic AI - Seoyul Yoon, SK AX Grand Ballroom 1 + 2 From CVEs To Kill Switches: Hardening the MCP Supply Chain End-to-End - Unnati Mishra, Independent Orchid 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:05 Building and Testing MCP Servers With the Inspector, Conformance Suites, and Property-Based Testing - Navin Pai, StackGen Orchid 2 My Computer's Purchasing? Enabling Agentic Commerce With MCP - Rohit Ganguly, Descope Grand Ballroom 1 + 2 Beyond APIs: Making MCP Services Faster and Secure With WebAssembly - Brandon Kang, Akamai Technologies Orchid 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:35 Dead Reckoning for AI Agents: Building Fault-Tolerant MCP State Machines Without a Map - Akshat Khanna, Independent Grand Ballroom 1 + 2 Stop Wrapping APIs: Building Structured Execution Boundaries With MCP for Incident Triage - Sunyoung Park, KC-ML2 Orchid 1 Who Watches the Watchmen? Safe AI-Agent Failover Via MCP and CRDs - Phuong Bac Ta, Research Center for Distributed Cloud and Networking, SSU, South Korea & Vitumbiko Mafeni, CNLAB SSU IISTRC Orchid 2NetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
17:05 From Scripts To Systems: Building Appium MCP for Real-World Automation - Swastik Baranwal & Navin Chandra, TestMu AI (formerly LambdaTest) Orchid 1 When Dashboards Lie: Building MCP Tools That Chase Down the Truth - Hrittik Roy, vCluster & Aditya Soni, SailPoint Grand Ballroom 1 + 2 MCP Authorization: What an IAM Engineer Sees That You Might Miss - Thumula Perera, WSO2 Orchid 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventKeynote SessionsKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventRegistration / Breaks / Special EventsBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
all eventWorkshopsWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source

The Full Reading

Why It Ranks This Way +

Calibrated from GES design 46/100 and verified 45/100, then capped for no visible follow-up, tracking, or impact mechanism.

Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as a mixed-format event agenda, with the strongest visible signal in future-of-work fit and learning transfer and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to post-event continuation and evidence.

Strongest signals: Future-of-Work Fit, Learning Transfer, and Participation Architecture. Weakest signals: Follow Through, Network Design, and Personalization.

How This Agenda Could Improve +
  • Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
  • Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
  • Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.

Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.

Role-Specific Reading +

Event owner lens

Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 45/100, so the next move is to benchmark the weakest pillars before repeating the format.

Sponsor lens

Look beyond exposure. Strong sponsor value would show qualified interaction, problem work, buyer learning, customer evidence, or follow-up. The practical sponsor move is to look for structured introductions, buyer-seller fit, and relationship persistence.

Designer lens

The agenda is useful as a pattern sample from mcpseoul2026.sched.com. Redesign attention should go first to the lowest-scoring pillars; in practice, turn the thinnest agenda blocks into participant work.

Executive lens

Treat the visible agenda as an operating plan. The executive move is to require owners, dates, and evidence before treating the event as strategic. If owners, proof, and follow-through are not visible, the public record does not yet prove strategic movement.

Aggregator lens

Treat the source URL as evidence, not decoration. The data-product move is to label the source boundary clearly before ranking the record before ranking or syndicating the record.

What GES Means Here +

The Gathering Effectiveness Score is a strict 0-100 public-evidence reading of the agenda across eight pillars. It rewards visible participant work, follow-through, transfer, network design, and proof mechanisms more than polish, speaker fame, attendance, or satisfaction.

Visible mechanisms: Participant work, Feedback, Network design, Learning transfer.

Evidence boundary: Scores reflect visible agenda/source evidence and should not be read as proof of causal event impact.

Limitations, Score Caps, and Review Flags +

Limitations

  • No visible follow-up, progress monitoring, or longitudinal tracking.
  • No baseline measurement is visible.

Score caps

  • 42: No visible follow-up, tracking, or impact mechanism.

Review flags

  • Fourth-loop score cap: No visible follow-up, tracking, or impact mechanism.
  • No source-backed follow-up, validation, baseline, tracking, or impact evidence.
  • No tracking, validation, feedback, or impact measurement found in the visible source text.
  • Original category was unknown; publication category is inferred.
Is this proof the event worked? +

No. This is a strict public-evidence reading of the agenda. Proof would require baseline, comparison, follow-up, attribution, and impact evidence beyond the listing.

What should a reader inspect first? +

Start with the source URL, then compare the eight pillar scores against the agenda rows. The biggest opportunities usually sit in follow-through, evidence maturity, and participant work.

Why publish weak records? +

Weak records are part of the map. They show where public agendas still describe sessions and speakers more often than outcomes, commitments, transfer, or proof.

How should I use the rows? +

Read the agenda rows as the visible design trace: formats, purposes, and evidence labels show what the public source made inspectable, not everything that happened in the room. This is a source-grounded interpretation of the public agenda record, not a copy of the source, and not an endorsement of the event.

Embed the verified badge +

This record is in the hand-verified gold set. Copy the snippet below to embed the verified badge on your own site.

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Where To Go Next

Compare this agenda against other Technology / AI / Startup events scored on the same eight pillars.