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April 2-3, 2026
New York, NY
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Type: Keynote Sessions clear filter
Thursday, April 2
 

9:00am EDT

Keynote: Opening Remarks - Jim Zemlin, Executive Director, Agentic AI Foundation & CEO, The Linux Foundation
Thursday April 2, 2026 9:00am - 9:10am EDT

Speakers
avatar for Jim Zemlin

Jim Zemlin

Executive Director, The Linux Foundation
Jim Zemlin’s career spans three of the largest technology trends to rise over the last decade: mobile computing, cloud computing, and open source software. Today, as executive director of The Linux Foundation, he uses this experience to accelerate innovation in technology through... Read More →
Thursday April 2, 2026 9:00am - 9:10am EDT
Broadway Ballroom (6th Floor)

9:10am EDT

Keynote: Welcome Remarks from the AAIF Governing Board Chair - David Nalley, Director of Developer Experience, Amazon Web Services
Thursday April 2, 2026 9:10am - 9:15am EDT

Speakers
avatar for David Nalley

David Nalley

Director, Developer Experience, AWS
David Nalley is Director of Developer Experience at Amazon Web Services (AWS), where he leads efforts to improve how developers interact with AWS services and technologies. He brings over two decades of experience in technology to his role.
Nalley previously served as President... Read More →
Thursday April 2, 2026 9:10am - 9:15am EDT
Broadway Ballroom (6th Floor)

9:15am EDT

Keynote: MCP: The Integration Protocol - David Soria Parra, Member of Technical Staff, Anthropic
Thursday April 2, 2026 9:15am - 9:35am EDT

Speakers
avatar for David Soria Parra

David Soria Parra

Member of Technical Staff, Anthropic
I am the co-creator of the Model Context Protocol (Modelcontextprotocol.io) and a Member of Technical Staff at Anthropic working on a wide variety of things. Formerly a senior manager at Facebook working on static analysis and simulation based testing. I was responsible of integrating... Read More →
Thursday April 2, 2026 9:15am - 9:35am EDT
Broadway Ballroom (6th Floor)

9:35am EDT

Keynote: MCP @ Amazon Scale - James Hood, Principal Software Engineer, Amazon Web Services
Thursday April 2, 2026 9:35am - 9:45am EDT
Enabling tens of thousands of engineers to work more efficiently with AI is a daunting task, especially when security is essential. At Amazon we’ve enabled our engineers to use hundreds of MCP servers for everything from ticket/issue systems to design/architecture guidance documentation. Along the way to achieving higher productivity, we’ve learned a few things about how to best rollout these kinds of massive changes. This session will share our essential learnings for MCP at enterprise scale. 
Speakers
avatar for James Hood

James Hood

Principal Software Engineer, AWS
James is a Principal Software Engineer and 16-year Amazon veteran with experience across AWS and Stores. He founded Amazon’s internal AI “power user” community and now focuses on integrating AI into internal builder tools as part of the Amazon software builder experience organization. James is... Read More →
Thursday April 2, 2026 9:35am - 9:45am EDT
Broadway Ballroom (6th Floor)

9:50am EDT

Keynote: Operating MCPs at Enterprise Scale: Uber’s Journey - Meghana Somasundara, Agentic AI Lead & Rush Tehrani, Head of Engineering, Agentic AI Platform, Uber Technologies, Inc.
Thursday April 2, 2026 9:50am - 10:05am EDT
AI Agents at Uber may need to navigate a massive ecosystem of 1000s of services, handle sensitive data, and execute critical business logic. To enable this, we are moving towards an agentic future which leverages a unified Model Context Protocol (MCP) infrastructure to access real-time services.

We will share the architectural lessons learned from deploying MCP at an enterprise scale. We will dive into three key technical pillars of our strategy:

1. Protobuf-Driven MCP Servers: How we leverage existing services and protocol buffers to automatically generate MCP servers, providing safe and instant access to 1000s of microservices.
2. Derived Tools and Description Overrides: Why static tool definitions aren't enough for complex workflows. We’ll demonstrate how we allow developers to override and refine MCP tool descriptions via "derived tools," ensuring agents have the specific context needed for particular workflows.
3. Evaluate quality: How we evaluate quality of MCP tools, leveraged in our no-code Agent Builder, which is a tool that democratizes agent building at Uber.
Speakers
avatar for Meghana Somasundara

Meghana Somasundara

Agentic AI Lead, Uber Technologies, Inc.
Product Lead with 10+ years of experience building mission critical AI and Generative AI Platforms at Meta and Uber, holding a Masters in Machine Learning from Columbia University. Established several AI Platforms powering thousands of ML models and personalized experiences for products... Read More →
avatar for Rush Tehrani

Rush Tehrani

Head of Engineering, Agentic AI Platform, Uber Technologies, Inc.
Rush leads the Agent Platform charter at Uber. Prior to establishing the Agent Platform charter, he led model deployment, inference and monitoring. Before joining Uber, he was the founder and creator of Onepanel, an open source, Kubernetes native computer vision platform.
Thursday April 2, 2026 9:50am - 10:05am EDT
Broadway Ballroom (6th Floor)
  Keynote Sessions
  • Audience Experience Level Any

10:05am EDT

Keynote: Lessons Learned from Driving Enterprise MCP Adoption - Sheng Liang, CEO, Obot AI
Thursday April 2, 2026 10:05am - 10:15am EDT
MCP adoption in the enterprise is at an early stage and continues to grow rapidly. In the past year, Obot AI developed MCP gateways, registries, chat clients, and workflows for enterprise customers. In this talk, we will discuss the lessons we learned, the trends we observed, and the developments in MCP technologies we are particularly excited about for driving MCP adoption in the enterprise.

Speakers
avatar for Sheng Liang

Sheng Liang

CEO, Obot AI
Sheng Liang is cofounder and CEO of Obot.ai. Previously, Sheng founded and served as CEO of successful open source software companies, including Rancher Labs and Cloud.com, and served in executive roles at SUSE and Citrix. He started as an engineer at Sun Microsystems, where... Read More →
Thursday April 2, 2026 10:05am - 10:15am EDT
Broadway Ballroom (6th Floor)

10:20am EDT

Keynote: Duolingo's AI Slackbot: An Enterprise Assistant With 180+ MCP Tools - Aaron Wang, Software Engineer, Duolingo Inc
Thursday April 2, 2026 10:20am - 10:35am EDT
At Duolingo, we built an AI Slackbot using Claude's AI Agent SDK and the Model Context Protocol, connecting 180+ tools across 15+ MCP servers—GitHub, Jenkins, Sentry, Grafana, PagerDuty, Honeycomb, and more.

This talk covers:
1. Building and Standardizing MCP Servers: Patterns for stdio and HTTP transports with consistent configuration schemas.
2. Authentication and Role-Based Access Control: YAML-based tool allowlists gating sensitive tools by user role.
3. Evaluation Framework: A Python script runs parallel evaluation tests validating MCP tool usage, anti-hallucination checks, and response quality.
4. Real-World Challenges:
* Testing in production without synthetic environments
* Preventing customer PII from reaching AI models
* Performance optimization: Tradeoff between fast answer vs good answer
* AI hallucinating answers instead of calling MCP tools
* Wrong MCP parameters causing slow queries and failures
5. Live Examples: PagerDuty triage, Jenkins debugging, and incident investigation—all from Slack.
Speakers
avatar for Aaron Wang

Aaron Wang

Software Engineer, Duolingo Inc
Aaron Wang is a Software Engineer on Duolingo's DevXAI team, building AI-powered developer tools. He led the development of Duolingo's AI Slackbot with 180+ MCP tools—helping employees find answers in help channels, triage alerts, debug incidents, and navigate internal systems... Read More →
Thursday April 2, 2026 10:20am - 10:35am EDT
Broadway Ballroom (6th Floor)

10:35am EDT

Keynote: Enterprise MCP - The Data Plane for Autonomous Agents - Adam Seligman, CTO & Zayne Turner, Developer Advocate, Workato
Thursday April 2, 2026 10:35am - 10:45am EDT
Connecting agents to tools is the easy part. Governing what they do with that access — what they can reach, under what conditions, with full visibility into what happened — that's the layer most enterprises are still building from scratch.

After 100+ enterprise MCP deployments across finance, HR, IT, and operations, one pattern keeps emerging: every organization is building the same missing layer. Not the model. Not the tools. The data plane that governs how autonomous systems operate inside the enterprise.

Workato CTO Adam Seligman will name the pattern and frame what that layer looks like at scale. Developer Advocate Zayne Turner will open the architecture behind a real deployment — showing how the data plane turns MCP from demo-ready integration into production-ready infrastructure.

Autonomy without control is risky. Data control without autonomy is stagnation. The enterprises that win will build both.

Speakers
avatar for Adam Seligman

Adam Seligman

CTO, Workato
CTO of Workato, the enterprise MCP company and the leader in orchestration. Ex-AWS, Google, Salesforce, Heroku, Microsoft. Passionate about developers and empowering anyone to make software.
avatar for Zayne Turner

Zayne Turner

Developer Advocate, Workato

Thursday April 2, 2026 10:35am - 10:45am EDT
Broadway Ballroom (6th Floor)

10:45am EDT

Keynote: The First 100 Agents: Scaling With MCP From Prototype To Platform - Diamond Bishop, Director of Eng/AI, Datadog - Dispatch Agents
Thursday April 2, 2026 10:45am - 10:55am EDT
Building your first MCP agent is exciting. Building a platform where dozens of teams can safely deploy their own agents is a different beast entirely. This talk will share lessons learned scaling an MCP powered agent platform from a single prototype to a multi-tenant platform supporting diverse agent workloads.
Speakers
avatar for Diamond Bishop

Diamond Bishop

Director of Eng/AI, Datadog - Dispatch Agents
A survivor of at least 1 AI winter, Diamond leads Datadog's AI Skunkworks group. He joined Datadog through the acquisition of Augmend, the DevOps AI assistant startup he co‑founded.

Diamond has over 15 years of AI experience building assistants and developer platforms, from the early days of Microsoft Cortana and Amazon Alexa to open-source work on PyTorch at Meta. Today he focuses on “unhobbling” enterprise agents: durable control flow, strong evaland... Read More →
Thursday April 2, 2026 10:45am - 10:55am EDT
Broadway Ballroom (6th Floor)
  Keynote Sessions

11:00am EDT

Keynote: Navigating Primitives for Agent Collaboration - Nick Aldridge, Co-founder & CEO, Mousecat
Thursday April 2, 2026 11:00am - 11:10am EDT
Building your first MCP agent is exciting. Building a platform where dozens of teams can safely deploy their own agents is a different beast entirely. This talk will share lessons learned scaling an MCP powered agent platform from a single prototype to a multi-tenant platform supporting diverse agent workloads.
Speakers
avatar for Nick Aldridge

Nick Aldridge

Core Maintainer of MCP and Co-founder & CEO, MouseCat
Nicholas Aldridge is a Core Maintainer of MCP and the Co-founder and CEO of MouseCat, which builds AI agents for fraud investigation. He spent 6.5 years as a Principal Engineer at AWS AI, where he helped launch and lead Amazon Bedrock Knowledge Bases, Agents, and AgentCore. He also... Read More →
Thursday April 2, 2026 11:00am - 11:10am EDT
Broadway Ballroom (6th Floor)
  Keynote Sessions
 
Friday, April 3
 

9:00am EDT

Keynote: MCP Apps: Extending the Frontier - Ido Salomon, Creator MCP-UI & Liad Yosef, Co-creator, MCP Apps​
Friday April 3, 2026 9:00am - 9:20am EDT
AI agents are quickly becoming the new browsers, changing how users consume content and get work done. That shift is increasingly powered by a new generation of agentic apps that don’t just present text but deliver interactive experiences within any MCP host. By standardizing interactive UI on MCP, the MCP Apps official extension (SEP-1865) is poised to become the new agentic app runtime, serving as the backbone of the future and removing adoption obstacles that previously hindered the protocol.

Join us to learn more about:

The new web -
How MCP Apps reshapes the traditional app landscape and transforms the way users interact with the web

MCP Apps -
- Architecture
- Real-world use cases
- What's ahead?
- Getting started (+community and #mcp-apps-wg)

Future vision
Speakers
avatar for Liad	Yosef

Liad Yosef

Co-creator, MCP Apps​
Liad Yosef is a seasoned AI lead and software architect. He is the co-builder of MCP-UI, the co-author and maintainer of MCP Apps on the MCP Steering Committee, and a co-creator of GitMCP. Previously AI Lead in Shopify's CEO office, leading agentic interfaces, and currently the c... Read More →
avatar for Ido Salomon

Ido Salomon

Creator, MCP-UI
Ido Salomon is a seasoned AI lead and software architect. He is the creator of MCP-UI and AgentCraft, a co-author and maintainer of MCP Apps on the MCP Steering Committee, and a co-creator of GitMCP. Previously, Ido led end-user AI at Palo Alto Networks. He is an avid open-source... Read More →
Friday April 3, 2026 9:00am - 9:20am EDT
Broadway Ballroom (6th Floor)
  Keynote Sessions
  • Audience Experience Level Any

9:20am EDT

Keynote: Context is More Than Tools - Why the "C" in MCP is More Relevant Than Ever - Ryan Cooke, Engineering Lead, WorkOS
Friday April 3, 2026 9:20am - 9:30am EDT
  • Large language models excel at navigating information spread across files, tools, and systems. They can grep, synthesize, and reason about what to look for in response to user prompts. And while this capability improves, a different constraint is emerging: semantic alignment.
  • This talk focuses on the premise of context engines. These are systems that encode how an organization’s knowledge is structured and interpreted. In many companies, a term like “customer,” “account,” or “environment” means different things depending on the team or workflow. A context engine captures those relationships and semantics, making them usable both for search and as structured context for LLMs.
  • Unlike naive RAG approaches that retrieve documents, context engines provide meaning. They help LLMs interpret intent, disambiguate internal terminology, and reason within the mental model of a specific organization or domain. The same semantic layer that improves search also improves prompting, tool selection, and response quality.
  • We’ll explore why the “C” in MCP matters more than ever, how context engines complement modern LLM workflows, and what it looks like to move beyond tools toward shared, durable context.

Speakers
avatar for Ryan Cooke

Ryan Cooke

Engineering Lead, WorkOS
Ryan Cooke is a technologist and founder with two decades of experience building early-stage startups. Despite several founding roles, he remains a developer at heart, drawn to hard problems in information retrieval, security and data modeling. He’s led engineering teams across... Read More →
Friday April 3, 2026 9:20am - 9:30am EDT
Broadway Ballroom (6th Floor)

9:35am EDT

Keynote: MCP x MCP - Nick Cooper, Member of Technical Staff, OpenAI
Friday April 3, 2026 9:35am - 9:50am EDT
Layering and connecting multiple MCP systems
Speakers
avatar for Nick Cooper

Nick Cooper

Member of Technical Staff, OpenAI
Nick Cooper is a senior member of technical staff at OpenAI working with a particular focus on scalable patterns to make life easy while iterating quickly. He is the technical lead at OpenAI for protocols, MCP Core maintainer and AAIF governing board member. He comes from a brief... Read More →
Friday April 3, 2026 9:35am - 9:50am EDT
Broadway Ballroom (6th Floor)
  Keynote Sessions
  • about <br>

9:50am EDT

Keynote: Building a Unified Control Plane for MCP Across Servers, Clients, and Teams - Cecilia Liu, Senior Product Manager, Docker
Friday April 3, 2026 9:50am - 10:00am EDT
Today, there are tens of thousands of MCP servers available, and developers are increasingly pulling unvetted servers from the open internet. While this accelerates experimentation, it also introduces real security risks, leaving enterprises flying blind, with limited visibility into what’s being used and increased exposure to emerging threats such as tool poisoning and prompt injection.
For MCP to scale effectively in enterprise environments, organizations must strike a balance between developer velocity and enterprise-grade visibility and control. A key enabler is a gateway that acts as a unified control plane across MCP servers, clients, and teams.
In this talk, we’ll explore why a gateway is foundational to enterprise MCP adoption and how it enables centralized visibility, secure data flow management, and policy enforcement to mitigate security risks. We’ll also share practical guidance on evaluating MCP gateway solutions including what capabilities matter most, how to choose a solution that fits your needs today, and how to ensure it can scale as MCP adoption grows.

Speakers
avatar for Cecilia Liu

Cecilia Liu

Sr Product Manager, Docker
Cecilia Liu is a Senior Product Manager at Docker, leading product strategy for Docker's MCP Platform—Docker's solution for running MCP servers securely and at scale through containerization. She drives Docker's AI strategy across both enterprise and developer ecosystems, helping... Read More →
Friday April 3, 2026 9:50am - 10:00am EDT
Broadway Ballroom (6th Floor)

10:00am EDT

Keynote: One-To-Many: Enabling MCP, Agents, and Intelligent Systems at Nordstrom - Ola Hungerford, Principal Engineer & Sandeep Bhat, Engineer, Nordstrom
Friday April 3, 2026 10:00am - 10:15am EDT
Natural language is becoming a universal interface. Connecting that interface to enterprise systems requires more than protocols. It requires active, thoughtful, and sustained work.

This talk shares Nordstrom's journey enabling MCP and AI agents across the organization: building secure MCP server standards, navigating OAuth and token management for agent workflows, and creating governance frameworks that let teams experiment while ensuring supportability. We'll cover practical challenges and solutions that make the C in MCP reliable, accurate and secure: knowledge feedback loops, layered access management, and evaluation techniques that make "one-to-many" enablement possible.

Beyond the technical, we'll also touch on the human systems work: coordinating across teams when AI initiatives emerge organically, building documentation that drives the right patterns from the start, and patiently creating the organizational foundations that let others follow and build on what you've started.
Speakers
avatar for Ola Hungerford

Ola Hungerford

Principal Engineer, Nordstrom
Ola Hungerford is a Principal Engineer at Nordstrom and a maintainer and community moderator for the Model Context Protocol. She leads AI enablement initiatives while contributing to MCP's specification, developer tooling, documentation, and community governance. Ola comes from a... Read More →
avatar for Sandeep Bhat

Sandeep Bhat

Engineer, Nordstrom
​I work on the AI Enablement team at Nordstrom, focusing on platform engineering for MCP and AI agents. My past background in security grounds my decision-making, allowing me to balance safe architecture with a passion for AI productivity. I build infrastructure that empowers internal... Read More →
Friday April 3, 2026 10:00am - 10:15am EDT
Broadway Ballroom (6th Floor)
  Keynote Sessions

10:20am EDT

Keynote: Using MCP for Skills Orchestration and Enterprise Integration - Jacob Wilson, PwC Principal, GenAI Transformation Leader
Friday April 3, 2026 10:20am - 10:30am EDT
Most enterprise AI experiences break down at the system boundary, where users know what they need but not which application, process, or data is required to complete it. This session uses procurement as a practical example of a different pattern: a single conversational interface powered by MCP that hides backend complexity while orchestrating work across multiple systems. We’ll show how MCP supports both skills orchestration and enterprise integration, enabling flows such as request classification, requisition creation, status lookup, and intelligent routing between procurement systems. The result is a practical blueprint for scaling system-agnostic workflows across ERP and other back-office functions.
Speakers
avatar for Jacob Wilson

Jacob Wilson

PwC Principal, GenAI Transformation Leader, PwC
Jacob is a Principal in PwC's Advisory Analytics practice, specializing in delivering business-driven AI and Generative AI (GenAI) solutions for the firm and its clients. In addition to his client-facing responsibilities, Jacob serves as the lead Principal for PwC's GenAI delivery... Read More →
Friday April 3, 2026 10:20am - 10:30am EDT
Broadway Ballroom (6th Floor)

10:30am EDT

Keynote: Interoperability Isn’t Enough: Building Trustworthy AI Infrastructure with MCP - Ania Musial, Head of AI Platforms Product, Office of the CTO, Bloomberg
Friday April 3, 2026 10:30am - 10:40am EDT
Last year, we spoke about our adoption of Model Context Protocol (MCP) as a foundation for interoperable AI agents and tools at Bloomberg. What we’ve learned since then is that interoperability is the easy part; building trustworthy and interoperable AI infrastructure is the hard part.

Today, MCP powers Bloomberg’s flagship agentic AI solution (ASKB), underpins the experience the firm’s engineers have with our AI development platform, and drives production workflows across Bloomberg. Scaling all of this required more than standardizing tool calls.

In this update, we’ll share how our approach to building trustworthy agentic AI infrastructure down to its core: interceptors to constrain & guide agentic behavior, tool variants to support different models and surfaces, and governance strong enough to let teams innovate quickly without compromising control. Interoperability may get your AI agents connected, but trustworthiness is what enables your agentic AI systems to scale.
Speakers
avatar for Ania Musial

Ania Musial

Head of AI Platforms Product, Office of the CTO, Bloomberg

Friday April 3, 2026 10:30am - 10:40am EDT
Broadway Ballroom (6th Floor)
 
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