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April 2-3, 2026
New York, NY
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The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for MCP Dev Summit North America to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration..

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.
Type: Apps and Agents clear filter
Thursday, April 2
 

11:50am EDT

Building MARVIN: What Teaching a Non-Technical Marketer To Use MCP Taught Me About AI Adoption - Sterling Chin, Postman
Thursday April 2, 2026 11:50am - 12:15pm EDT
Juilliard Complex (5th Floor)
Over the 2025 holiday break, I built MARVIN, an AI assistant that connects to my email, calendar, Jira, Confluence, and meeting notes through MCP servers. The most surprising lessons came from teaching a non-technical friend in marketing to use it. Within a day, she took a task that typically required 4+ hours and completed it in 30 minutes.

In this talk, I'll share practical insights from building and deploying MCP-powered agents in real workflows:

- Architecture decisions: How I structured MCP servers for Gmail, Google Calendar, Jira, and other integrations, and where I got it wrong
- The "junior intern" pattern: Why treating AI agents like trainable assistants drives real usage
- The naming problem: Why "MCP" is a terrible name for mainstream adoption and what we should call it instead
- Curiosity over mandates: Why top-down AI adoption fails, and what ground-up adoption looks like

I'll walk through 25 minutes of hard-won lessons from building something real, watching people use it, and iterating based on what actually worked.
Speakers
avatar for Sterling Chin

Sterling Chin

Founding Developer Advocate, Inngest
Sterling Chin is a Founding Developer Advocate, where he focuses on AI-powered API development and the intersection of agents and APIs. At Postman, he lead the team that shipped 7 new products in 2.5 years including Postman's first AI Assistant, and now spends his time helping developers... Read More →
Building MARVIN MCP Dev Summit pdf
Thursday April 2, 2026 11:50am - 12:15pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents, MCP Best Practices

11:50am EDT

Sponsored Session: The Self-Improving MCP Server: Agents in a Live Development Loop - Enrico Toniato, Manufact
Thursday April 2, 2026 11:50am - 12:15pm EDT
Marquis Ballroom (9th Floor)
What if your AI agent could build and refine its own MCP server while you watch? We'll demonstrate a live development loop where coding agents iterate on MCP servers and UI widgets in real time . no restarts, no broken workflows. Using hot module reloading for both the protocol primitives and the UI, agents can preview and refine their output in real time.



In order to facilitate networking and business relationships at the event, you may choose to visit a third party's booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies. 
Speakers
avatar for Enrico Toniato

Enrico Toniato

CTO, Manufact (formerly mcp-use)
CTO at Manufact (formerly mcp-use)Prev AI tech lead at IBM ResearchAchieved SoTA in Text2SQLPresented at NeurIPSRobotics @ ETH Zurich
MCP Dev Summit Slides (3) pdf
Thursday April 2, 2026 11:50am - 12:15pm EDT
Marquis Ballroom (9th Floor)
  Apps and Agents
  • Session Slides Yes

12:20pm EDT

MCP for Autonomous Storefronts: Building Self-Healing Agent Loops - Guilherme Rodrigues, decocms.com
Thursday April 2, 2026 12:20pm - 12:45pm EDT
Juilliard Complex (5th Floor)
Most MCP integrations power chat: an agent responds to a prompt. But MCP can power continuous loops — agents that run on schedule, find issues, and ship fixes without human prompting.

This talk covers how to build MCP servers for autonomous operations. The core pattern: Detect → Analyze → Propose → Execute → Report. Each loop queries MCP resources, processes data, and takes action based on its trust level.

I'll show three examples from e-commerce: (1) a learnings database — optimization patterns exposed as MCP resources that agents query to diagnose codebases; (2) CDN observability — requests, bandwidth, cache rates as queryable resources for finding performance issues; (3) conversion analytics — pageview and conversion data that agents correlate to propose content changes.

The key design question: when can agents act autonomously vs. require human approval? I'll present a trust framework where loops graduate from report-only → PR with review → auto-merge based on accuracy over time.

Takeaways: how to structure domain expertise as MCP resources, architecture for connecting observability to agents, and patterns for safe autonomous execution.
Speakers
avatar for Guilherme Rodrigues

Guilherme Rodrigues

CEO & Co-Founder, decocms.com
Co-founder & CEO of decocms.com, an open-source framework for building and deploying MCP-based Internal AI Platforms. Previously spent 9 years at VTEX through its NYSE IPO, where he led the first version of the Store Framework and VTEX IO Developer Platform. Based in Rio de Janeiro... Read More →
deco mcp dev summit compressed pdf
Thursday April 2, 2026 12:20pm - 12:45pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

12:50pm EDT

Building Multi-Turn Agentic Workflows With MCP: Lessons From Avatar Generation at Roblox - Rohan Gangaraju & Jason Ding, Roblox
Thursday April 2, 2026 12:50pm - 1:15pm EDT
Juilliard Complex (5th Floor)
Creative assembly tasks - where agents compose pieces into coherent wholes - present unique challenges: tracking progress across turns, validating outputs, and recovering when something doesn't fit. This talk shares patterns for multi-turn workflows, illustrated through avatar generation where an agent assembles clothing into cohesive outfits.
Pattern 1: Session Memory - Track selections, failed searches, and partial progress across turns. Know what's in the cart before suggesting more.
Pattern 2: Composite Tools - Combine operations (search + fetch thumbnails) into single tools that reduce round-trips and give agents richer context.
Pattern 3: Pre-flight Validation - Check compatibility before expensive operations. Catch conflicts early (clashing items, missing pieces) rather than failing at generation.
Pattern 4: Validate-and-Retry Loops - Use VLM scoring on outputs, track best-of-N attempts, and guide agents toward improvements when quality falls short.
Avatar generation makes these patterns concrete - "getting dressed" is intuitive - but they apply broadly to document assembly, configuration builders, and any workflow composing parts into wholes.
Speakers
avatar for Rohan Gangaraju

Rohan Gangaraju

Senior Machine Learning Engineer, Roblox
Rohan Gangaraju is a Senior Machine Learning Engineer on the Economy ML team at Roblox, where he works on building recommendation systems for virtual economy and avatar marketplace. He holds a CS degree from UMass Amherst.
avatar for Jason Ding

Jason Ding

Software Engineer, Roblox
Jason Ding is a Software Engineer at Roblox, where he drives Avatar Generation efforts focused on ML powered avatar creation. He holds degrees in Electrical Engineering and Computer Science (EECS) and Business from UC Berkeley through the M.E.T. program.
Roblox Avatar generation pdf
Thursday April 2, 2026 12:50pm - 1:15pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

2:35pm EDT

MCP Apps Best Practices: Patterns and Pitfalls - Olivier Chafik & Anton Pidkuiko, Anthropic
Thursday April 2, 2026 2:35pm - 3:00pm EDT
Juilliard Complex (5th Floor)
MCP Apps open a new world of possibilities for interactions in AI chats.
While SEP-1865 defines how they work, this talk is about how to build them well.

We'll share the patterns emerging from real MCP Apps development: understanding the data flow between servers, apps, and models — including the interplay of tool inputs and results (streamed or complete), when to use structuredContent versus _meta, how model context updates propagate, how to create tools visible to your app only, etc.

Beyond the protocol mechanics, we'll cover practical concerns: building apps that work across hosts, handling authenticated data at scale, managing state persistence, and keeping heavy visualizations performant. We'll also walk through the common pitfalls — the silent failures and subtle bugs that waste hours — and the debugging workflows and tools that surface them.

You'll leave with tricks and patterns you can apply immediately and a mental model for reasoning about MCP Apps architecture.
Speakers
avatar for Anton Pidkuiko

Anton Pidkuiko

Member of Technical Staff, Anthropic
Anton works on MCP (Model Context Protocol) tooling and integrations at Anthropic, with a focus on MCP Apps, connectors, and interactive UI surfaces.
avatar for Olivier Chafik

Olivier Chafik

Member of Technical Staff, Anthropic
Co-author of the MCP Apps extension, Olivier joined the MCP team at Anthropic in 2025, after working at Google (mostly AdSense) for 13 years. In recent years, he contributed to OSS projects such as OpenSCAD & llama.cpp, and is particularly excited by tool calling as the next interoperability... Read More →
Thursday April 2, 2026 2:35pm - 3:00pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

3:05pm EDT

Patterns for Building MCP-powered Agent Systems - Jiquan Ngiam, MintMCP
Thursday April 2, 2026 3:05pm - 3:30pm EDT
Juilliard Complex (5th Floor)
MCPs unlock agent data access, but that's only the first step towards building agents that can work autonomously. How do we build a complete system where multiple agents work together, maintain state across sessions, and the whole thing runs reliably every day.

I use agents that work with 10+ connections daily for both personal and work use cases: health MCPs/APIs (Strava, Apple Health), productivity tools (Calendar, Linear), business systems (Attio CRM, email), and developer tools (GitHub). This talk shares effective architectural patterns that emerged from actually using this system.

We'll cover MCP composition (Virtual MCPs) and how to orchestrate multiple agents with memory. We show how state management using Git as agent memory is effective, as it provides versioning and rollback. We treat CLAUDE.md files as behavioral memory in the same system. Finally, we cover security concerns and best practices to manage agents that have access to sensitive and/or untrusted data.
Speakers
avatar for Jiquan Ngiam

Jiquan Ngiam

Co-founder, CEO, MintMCP
Jiquan Ngiam was a senior staff researcher at Google Brain and founding team member at Coursera, where he helped build Andrew Ng's online machine learning course from the ground up. He co-authored pioneering work in multimodal deep learning at Stanford. Currently co-founder and... Read More →
Patterns for Building MCP powered Agent Systems pdf
Thursday April 2, 2026 3:05pm - 3:30pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

3:35pm EDT

Declarative MCP Servers for Secure, Specialized AI Agents - Josh Reini & Reetika Roy, Snowflake
Thursday April 2, 2026 3:35pm - 4:00pm EDT
Juilliard Complex (5th Floor)
Tool sprawl is a common failure mode for enterprise agents: the more tools an agent can reach, the less predictable it becomes—driving hallucinations, higher token costs, and larger security blast radius. Scaling agents safely requires specialization enforced by capability boundaries, not just better prompts.

This talk explores MCP best practices through a managed implementation where MCP servers are declared as explicit collections of tools and treated as governed objects. Specialization comes from two independent boundaries: (1) the MCP server definition limits the tool surface an agent can even access, and (2) RBAC still applies inside that server—so a user can only invoke tools they’re authorized to use, even if they can access the server that contains them.

Together, these boundaries reduce sprawl while improving operability: agents become easier to reason about, costs drop because fewer tools are in play, and least privilege is enforced with practical, role-aligned granularity.
Speakers
avatar for Josh Reini

Josh Reini

Developer Advocate, Snowflake
Josh is a developer advocate for Snowflake, previously at TruEra (recently acquired by Snowflake). He is also a maintainer of open-source TruLens, a library to systematically track and evaluate LLM based applications.

Josh has delivered tech talks and workshops to thousands of developers at events including PyData, Global AI Conference, NYC Dev Day, LLMs and the Generative AI Revolution, AI developer meetups including AI Camp and Unstructured SF Meetup... Read More →
avatar for Reetika Roy

Reetika Roy

Staff Software Engineer, Snowflake
Staff Software Engineer, Snowflake
Declarative MCP Servers for Secure, Specialized AI Agents.pptx pdf
Thursday April 2, 2026 3:35pm - 4:00pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

4:30pm EDT

When MCP Isn’t Enough: Product Decisions Behind Scalable Agent Systems - Cansu Berkem, Datadog
Thursday April 2, 2026 4:30pm - 4:55pm EDT
Juilliard Complex (5th Floor)
MCP is a strong foundation for building AI agents, enabling fast iteration, clear boundaries, and safer early deployments. But as agents move from prototypes to products customers rely on, product teams begin to hit limits around reliability, user experience, observability, and long-running workflows.

In this talk, I’ll share a product leader’s perspective on how MCP-based agent systems evolve in production. We’ll explore the product signals that indicate when MCP-only approaches start to constrain outcomes, and how teams can extend MCP-driven systems to meet higher expectations around trust, clarity, and control. Attendees will leave with a practical framework for scaling MCP-based agents from experimentation to dependable products.
Speakers
avatar for Cansu Berkem

Cansu Berkem

Director of Product Management, Datadog
Cansu Berkem is a Director of Product Management at Datadog, leading AI and Service Management platforms, and the product leader behind Bits AI, a generative AI copilot focused on building trusted, agentic AI systems in production. She has 15+ years of experience building AI, data... Read More →
From MCP Prototypes to Production Agents What actually matters (2) pdf
Thursday April 2, 2026 4:30pm - 4:55pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
  • Audience Experience Level Beginner
  • Session Slides Yes

5:00pm EDT

Evaluate What You Can't See: Measure the Probabilistic Nature of MCP - Prathmesh Patel & Marcelo Jimenez Rocabado, MCPJam
Thursday April 2, 2026 5:00pm - 5:25pm EDT
Juilliard Complex (5th Floor)
Everyone in this room is building MCP integrations. Almost nobody knows how well they're delivering value.
Outcomes are inherently non-deterministic: the same user request can produce completely different results depending on how the agent interprets user intent. Building an effective MCP server isn't just about handling tool calls, it's about spinning a data flywheel where every interaction teaches you what's working, what's failing, and what your users actually need.

The teams that figure this out compound user value over time. MCP has an XY problem. Almost everyone at this summit is focused on the Y. Let's talk about the X.
Speakers
avatar for Prathmesh Patel

Prathmesh Patel

CEO, MCPJam
Prathmesh Patel is leading MCPJam: an open-source developer platform helping thousands test, evaluate, and ship their MCP apps and servers. He's a former Technical Lead at Asana who owned Asana's MCP server, REST API, and OAuth AS. He also led Asana's prototyping and development of... Read More →
avatar for Marcelo Jimenez Rocabado
Thursday April 2, 2026 5:00pm - 5:25pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

5:30pm EDT

Operating MCP in the Enterprise: From Protocol To Production - Amar Deep Singh, GM Financial & Neelabh Tripathi, Cisco Systems
Thursday April 2, 2026 5:30pm - 5:55pm EDT
Juilliard Complex (5th Floor)
Model Context Protocol (MCP) enables standardized AI agents, but real adoption depends on how MCP servers operate in production—not just how the protocol is defined.

This session provides a high-level, practitioner perspective on running MCP in enterprise environments. It covers how MCP servers fit into existing platforms, with a focus on observability, security, distributed tracking of agent behavior, and resiliency. Rather than diving deep into implementation details, the talk shares lessons learned from real deployments and common pitfalls teams face when moving MCP from experimentation to production.
Speakers
avatar for Amar Deep Singh

Amar Deep Singh

AVP IT Architecture (Head of Enterprise Reusable Services & Tech Standards)), GM Financial
Amar Deep Singh is a distinguished software architect and author with extensive experience in microservices and cloud computing. He is the author of "Building and Delivering Microservices on AWS," a comprehensive guide that explores software architecture patterns and the deployment... Read More →
avatar for Neelabh Tripathi

Neelabh Tripathi

Engineering Architect, Cisco Systems
Neelabh Tripathi is a seasoned IT professional with over 18 years of expertise in cloud computing, enterprise architecture, and microservices. He has worked with some of the world’s leading organizations, where he played pivotal roles in driving digital transformation and innov... Read More →
Operating MCP in the Enterprise pdf
Thursday April 2, 2026 5:30pm - 5:55pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
 
Friday, April 3
 

11:30am EDT

RPC > MCP: Turning a Decade of APIs Into Agentic Tools - Ze'ev Klapow, HubSpot
Friday April 3, 2026 11:30am - 11:55am EDT
Juilliard Complex (5th Floor)
At HubSpot, we recognized that any RPC with a schema is already a tool definition, so we built our AI tooling infrastructure on top of our existing RPC framework instead of starting from scratch. Engineering teams can now expose any API to internal agents, public MCP clients, and customer-facing AI products with just two annotations, enabling rapid development and tool reuse across all of our AI systems. This talk covers the architecture, the tradeoffs, and how this approach let us ship agentic capabilities faster than we ever expected.
Speakers
avatar for Ze'ev Klapow

Ze'ev Klapow

Distinguished Software Engineer, HubSpot
Ze'ev Klapow is a Principal Software Engineer at HubSpot, where he has spent 13 years building infrastructure. He currently leads efforts to bring AI tooling to HubSpot engineers and designed the unified agent infrastructure that powers both internal and customer-facing AI produc... Read More →
slides pdf
Friday April 3, 2026 11:30am - 11:55am EDT
Juilliard Complex (5th Floor)
  Apps and Agents
  • Audience Experience Level Any
  • Session Slides Yes

12:00pm EDT

From One MCP Server To an Ecosystem: When MCP Stops Being a Server and Becomes a Platform - Vaibhav Tupe, Equinix
Friday April 3, 2026 12:00pm - 12:25pm EDT
Juilliard Complex (5th Floor)
As MCP adoption grows, teams quickly discover that scaling from a single MCP server to a multi-server ecosystem introduces new architectural, operational, and governance challenges. Patterns that work for standalone MCP implementations often break down when MCP becomes a shared platform capability across multiple domains, teams, and clients.

In this talk, we share practical lessons from building and operating an MCP server ecosystem at infrastructure scale at Equinix. What began as a single MCP server evolved into multiple coordinated MCP servers spanning networking and infrastructure domains, each with distinct tools, lifecycles, and operational constraints.

Attendees will learn:
1. How MCP architecture changes when scaling from one server to an ecosystem
2. Design patterns to avoid tight coupling and fragmentation across MCP servers
3. Practical approaches to tool discovery, versioning, and backward compatibility
4. Operational lessons for reliability, rate limiting, and failure isolation
5. Governance best practices for ownership, change management, and ecosystem growth
Speakers
avatar for Vaibhav Tupe

Vaibhav Tupe

Tech Lead - Principal Engineer, Equinix
Vaibhav Tupe is a distinguished Technology Advisory Board Member and Engineering Leader specializing in cybersecurity, cloud, and AI-ready data center infrastructure. With over 13 years of experience, he currently serves as a Technology Leader at Equinix USA, where he drives high-performance... Read More →
MCP DevSummit Final pptx
Friday April 3, 2026 12:00pm - 12:25pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

12:30pm EDT

Challenges in Delivering Unstructured Content Efficiently Over MCP - Kailas Krivanka & Fernando Cerenza, Box
Friday April 3, 2026 12:30pm - 12:55pm EDT
Juilliard Complex (5th Floor)
Delivering unstructured file content over MCP introduces various challenges in performance, efficiency, and security. We will explore the questions that arise when building an MCP server for content management and some of the approaches that can be used to tackle them. As enterprise environments require a more conservative security posture, we’ll also break down strategies for mitigating data exfiltration risks and prompt injection attacks through granular, configurable guardrails.

  • Why large content operations can fail: latency, data corruption
  • Techniques for managing context efficiently and minimizing LLM token usage
  • The benefits of programmatic tool calling for MCP tool composability
  • Tradeoffs between MCP and CLI for content operations
  • Handling safety risks when untrusted content becomes a data exfiltration vector
  • Balancing functionality and security when designing tool guardrails

By starting from first principles and reviewing specific examples attendees will leave with techniques for building MCP servers that process unstructured content efficiently and securely in enterprise environments.

Speakers
avatar for Fernando Cerenza

Fernando Cerenza

Senior Director of Product Management, Box
Fernando Cerenza leads Box’s partner integration ecosystem, where he oversees a vast network of over 1,500 application integrations. He is currently spearheading Box’s AI-focused initiatives, driving development on MCP and A2A to enable advanced agentic AI outcomes and seamless... Read More →
avatar for Kailas Krivanka

Kailas Krivanka

Software Engineer, Box
Kailas Krivanka is a software engineer with expertise in API design, software architecture, and distributed systems. He has worked at Box for 4 years, building scalable systems and solving complex technical challenges including launching the Box MCP server. With experience across... Read More →
MCP Dev Summit slides pdf
Friday April 3, 2026 12:30pm - 12:55pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
  • Audience Experience Level Beginner
  • Session Slides Yes

2:25pm EDT

Progressive Tool Discovery: Using MCP Notifications To Manage Context at Scale - Billy Hickman & Lilia Abaibourova, Amazon
Friday April 3, 2026 2:25pm - 2:50pm EDT
Juilliard Complex (5th Floor)
As MCP adoption grows, a challenge emerges: how do you expose 100’s of tools from a single server without overwhelming agent context windows? This talk introduces an MCP tool discovery mechanism we’ve built that dynamically loads tools. The platform works with a single discovery meta-tool on initialization, server-side state management to track agent context, and leveraging streamed MCP’s notifications/tools/list_changed to push relevant tool sets mid-session. Agents declare their problem context (incident response, monitoring etc) and receive only the tools they need, when they need them. Attendees will learn how this pattern keeps context windows lean while maintaining access to a broad tool ecosystem, with real examples showing how a single MCP server can serve diverse agent use cases without tool overload.
Speakers
avatar for Billy Hickman

Billy Hickman

Sr SDE, Amazon, Prime Video
Sr SDE from Amazon Prime Video. 10+ years experience building highly available, scalable distributed systems.
avatar for Lilia Abaibourova

Lilia Abaibourova

Principal Product Manager, Prime Video, Amazon
Lilia Abaibourova is a product and engineering leader with 15 years of experience building and scaling developer platforms and AI-first tools at Amazon, Peloton, HBO, and Microsoft. At Amazon, she leads AI enablement for Prime Video engineers, delivering agentic assistants for design... Read More →
progressive tool discovery pdf
Friday April 3, 2026 2:25pm - 2:50pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
  • Audience Experience Level Advanced
  • Session Slides Yes

2:55pm EDT

UI in the Age of AI - Adam Cowley, Neo4j
Friday April 3, 2026 2:55pm - 3:20pm EDT
Juilliard Complex (5th Floor)
When the backend can reason, what does that mean for the frontend? Let's look at how to build UIs that support reasoning and adapt to any task.

The way we interact with software is changing. LLM-powered applications, with human-in-the-loop, are handling repetitive tasks that used to require forms and workflows. But bolting a chatbot onto your existing UI isn't enough - extracting structured data from natural language is fragile, adding frustration and friction for users.

In this talk, we'll explore how tool-calling and protocols like MCP provide deterministic contracts with non-deterministic systems, what human-in-the-loop looks like when the UI adapts to the task at hand rather than forcing users through fixed workflows.
Speakers
avatar for Adam Cowley

Adam Cowley

Manager, Developer Education, Neo4j
Adam is a multi-disciplinary developer with over 20 years of experience building products that help people learn and grow. Currently Manager of Developer Education at Neo4j, he leads the team behind GraphAcademy - Neo4j's free learning platform.
Friday April 3, 2026 2:55pm - 3:20pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents

3:25pm EDT

From 60 Minutes To 60 Seconds: Production MCP Workflows for Healthcare Billing - Andrew Espira, Kustode
Friday April 3, 2026 3:25pm - 3:50pm EDT
Juilliard Complex (5th Floor)
Healthcare providers lose 30-60 minutes per insurance claim error, with the industry wasting $250B+ annually on administrative overhead. At Kustode, we built a multi-tenant RCM platform processing thousands of daily EDI transactions (837P claims, 835 remittances, 270/271 eligibility). While we automated the EDI pipes, intelligent workflow orchestration—denial management, prior authorization, claim intervention—remained manual until we integrated MCP.
You'll learn:
- Integrating MCP into existing production systems vs. greenfield builds
- Multi-tenant MCP architecture with PHI isolation and compliance
- Orchestrating long-running workflows (45+ day denial cycles) with state management
- Real workflows: automated denial resolution, prior auth orchestration, intelligent claim intervention
- Security patterns for MCP in regulated environments
- Production metrics: time savings, denial reduction, deployment challenges
- When MCP beats traditional API orchestration
This talk shares production lessons from deploying MCP workflows in a HIPAA-compliant healthcare platform
Speakers
avatar for Andrew Espira

Andrew Espira

Founding Engineer, Kustode
Andrew Espira is a Site Reliability Engineer with over seven years of experience in DevOps, Infrastructure, and Site Reliability Engineering. He specializes in optimizing large-scale system environments, cloud infrastructure, and distributed systems. Andrew is passionate about cloud-native... Read More →
MCP Talk Quest pptx
Friday April 3, 2026 3:25pm - 3:50pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
  • Audience Experience Level Any
  • Session Slides Yes

4:20pm EDT

Enabling Agentic Cloud Workflows - Santhosh Misro & Mayur Deshpande, Google
Friday April 3, 2026 4:20pm - 4:45pm EDT
Juilliard Complex (5th Floor)
Now live on GitHub, gcloud-mcp is the open-source reference implementation bringing agentic power to Google Cloud via the Model Context Protocol. As cloud platforms grow more complex, traditional CLIs struggle to support exploratory, goal-driven interactions. This session shares architectural lessons from building the bridge between AI assistants and enterprise cloud services to enable agent-driven reasoning.

Using the Storage MCP server as a deep dive, we demonstrate how AI assistants interact with Google Cloud Storage via MCP. We’ll show how raw GCS APIs were transformed into high-level Storage Intelligence tools that support meaningful workflows rather than simple command execution.

We focus on the design of the /storage-mcp package, including how we summarize GCS metadata into concise, accurate responses that agents can reason over without hitting context limits. Finally, we discuss how metrics like cost, latency, and task accuracy guided our iteration, helping refine prompt design and tool granularity. Attendees will leave with practical, enterprise-ready patterns for building local MCP servers that enable efficient interaction with complex cloud infrastructure.
Speakers
MD

Mayur Deshpande

Staff Software Engineer, Google
avatar for Santhosh Misro

Santhosh Misro

Senior Engineering Manager, Google
Friday April 3, 2026 4:20pm - 4:45pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
 
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