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June 14-15, 2026
Mumbai, India
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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 Mumbai 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.


Venue: Lotus 1 clear filter
Sunday, June 14
 

2:20pm IST

Keynotes To Be Announced
Sunday June 14, 2026 2:20pm - 3:10pm IST

Sunday June 14, 2026 2:20pm - 3:10pm IST
Lotus 1

3:20pm IST

Building Rich AI-Native UI for Agentic Interactions Using MCP Apps - Ashita Prasad, AWS
Sunday June 14, 2026 3:20pm - 3:45pm IST
AI Agents are getting smarter with each passing day. But, their interfaces? Not so much.

But, what if there is a way to turn the AI chat from a place where you converse into a place where you can actually work?

MCP Apps offer a solution to go beyond the text and standardize how MCP servers can deliver rich, bidirectional UI components like dashboards, forms, interactive visualizations & more. These components are rendered securely and natively within AI hosts, enabling agents to interact with users via rich interactive interfaces.

In this session, attendees will learn:
- Core architectural patterns from real MCP Apps development
- How to handle sandboxed host–server communication, manage state synchronization, stream real-time updates, handle async tasks, & add multiplayer collaboration
- How to leverage context and persist memory across conversations
- How to avoid some common pitfalls and utilize debugging workflows and tools
- How to add authentication & deploy a remote MCP Server providing MCP Apps

We will walk through a complete, production-style Sales Analytics MCP Apps and perform a code deep-dive to showcase the effective foundational patterns while building MCP Apps.
Speakers
avatar for Ashita Prasad

Ashita Prasad

SDE / Developer Advocate, AWS
Ashita works as a developer advocate at AWS with a strong focus on frontend and AI technologies. With 10+ years of experience in full stack development, she is passionate about building impactful products and equally loves empowering & engaging with fellow developers in the commu... Read More →
Sunday June 14, 2026 3:20pm - 3:45pm IST
Lotus 1
  Building with MCP

3:45pm IST

The MCP Trust Gap: I Tested 65 MCP Servers Across 4 Directories — Here's What Nobody Measures - Manav Agarwal, AgentProof
Sunday June 14, 2026 3:45pm - 4:10pm IST
56,000+ MCP servers are listed across mcp.so, Smithery, Glama, and PulseMCP. But how do you know which ones actually work?

I independently mapped 4 major MCP directories and tested 65+ servers across Research, Code, and Finance categories. The results expose a critical trust gap.

Each directory measures something different — none measure what matters most:
- mcp.so (19.5K servers): Zero quality signals
- Smithery (4.4K): Tracks uptime, not output quality
- Glama (21K): Grades code quality, not correctness
- PulseMCP (11K): Tracks popularity only

Key findings I'll share:

1. Quality collapse at scale — Developer Tools has 8,800 servers but only ~12 are consistently good (0.1% quality rate)

2. The Finance/Payments desert — 74 Finance servers out of 19,557 (0.4%). Fewer than 8 support agent-to-agent payments across 14 protocols I analyzed

3. A practical framework for MCP server trust — beyond code grades to actual output quality assessment

This is independent research, not a product pitch. Full dataset and methodology shared openly.

Attendees leave with the first cross-directory quality analysis of the MCP ecosystem and a framework for evaluating servers.
Speakers
avatar for Manav Agarwal

Manav Agarwal

Founder & Independent Researcher, AgentProof
Creator of AgentProof, an independent benchmarking and trust analysis project for AI agents. Mapped 10 agent directories containing 1.24M+ listings, deep-dived 3 agent categories, and health-checked 65+ MCP servers. Previously analyzed 14 agentic payment protocols (x402, Stripe ACP... Read More →
Sunday June 14, 2026 3:45pm - 4:10pm IST
Lotus 1
  Security, Identity + Trust

4:10pm IST

OAuth Isn't Enough: Confused Deputy in Multi-Agent MCP Pipeline - Sankalp Sandeep Paranjpe, Big4 Consulting Firm; Vishal Alhat, AWS
Sunday June 14, 2026 4:10pm - 4:35pm IST
OAuth-based authentication is becoming the default foundation for MCP-enabled systems. However, while authentication is standardized, authorization across agent boundaries remains unresolved.

In multi-agent MCP pipelines, orchestrators delegate tasks to sub-agents that act using the user’s authority. This creates a classic confused deputy problem: a sub-agent executes with valid credentials, but under the influence of untrusted inputs such as prompt injections or malicious tool manifests. As a result, it can access or exfiltrate data beyond the user’s original intent.

This talk demonstrates how privilege propagation, not authentication failure, is the core risk.

I will present a three-layer enforcement model:

1) Token attenuation using RFC 8693 to restrict sub-agent privileges at delegation time
2) Policy enforcement using Open Policy Agent to treat every tool call as untrusted input
3) Structured audit trails to ensure post-incident analysis

Live demo: the same MCP pipeline executed twice, first with default delegation (resulting in silent data exfiltration via prompt injection), and then with all three controls applied, where the attack is blocked, logged, and auditable.
Speakers
avatar for Vishal Alhat

Vishal Alhat

Developer Advocate, AWS

Vishal Alhat is a Developer Advocate at Amazon Web Services (AWS) and a former AWS Hero, recognized for his significant contributions to the AWS community. With 11+ years of experience in cloud technologies, Vishal specializes in DevOps, cloud security, and AI/ML.As an active community... Read More →
avatar for Sankalp Sandeep Paranjpe

Sankalp Sandeep Paranjpe

Cloud Security Consultant, '-
Sankalp Sandeep Paranjpe is a DevSecOps Engineer and cloud security practitioner. He speaks at community and security events on practical DevSecOps and Kubernetes security topics. He volunteers with AWS User Group Pune and contributes to the cloud-native community through talks, workshops... Read More →
Sunday June 14, 2026 4:10pm - 4:35pm IST
Lotus 1
  Security, Identity + Trust

5:15pm IST

The State Sidecar: Solving the MCP Stateless Paradox - Joval Kuruvila, Caze Labs Private Limited & Advaith Sanil Kumar, Caze Labs
Sunday June 14, 2026 5:15pm - 5:40pm IST
There is a fundamental contradiction at the heart of production deployments for the Model Context Protocol (MCP). Conceptually, MCP sessions are stateful: they establish connections, negotiate capabilities, and persist context. However, modern deployment environments—like Kubernetes horizontal scaling, serverless functions, and AWS Bedrock AgentCore—are inherently stateless.

The current ecosystem advice is simply to "externalize your state," but there is no standardized infrastructure for doing this natively within MCP. Developers are forced to build ad hoc memory management using custom Redis wrappers or brittle in-memory dictionaries.

This session introduces the State Sidecar pattern: a dedicated MCP server whose sole responsibility is to store, manage, and retrieve agent workflow state. Instead of building custom database connectors, any agent can call the sidecar via standard MCP tool calls to persist intermediate results, track task progress, and maintain context summaries.
Speakers
avatar for Joval Kuruvila

Joval Kuruvila

Software Engineer, Caze Labs Private Limited
Joval Kuruvila is a Bengaluru-based AI/LLM Engineer with 2 years of experience building production-grade GenAI systems. Currently at Caze Labs Pvt Ltd, he specializes in agentic workflows (LangGraph), RAG pipelines, and real-time conversational AI. A B.Tech graduate, open-source contributor... Read More →
avatar for Advaith Sanil Kumar

Advaith Sanil Kumar

AI Intern, Caze Labs | Student, PES University and IIT-Madras, Caze Labs Private Limited
Advaith Sanil Kumar is an AI researcher and developer focused on building intelligent, context-aware systems. Currently an AI Intern at Caze Labs and contributor to open-source MCP ecosystem efforts under the Linux Foundation, he works on LLM testbeds, agentic systems, and prompt... Read More →
Sunday June 14, 2026 5:15pm - 5:40pm IST
Lotus 1

5:40pm IST

Building Autonomous Mobile Agents With MCP - Srinivasan Sekar & Sai Krishna, TestMu AI
Sunday June 14, 2026 5:40pm - 6:05pm IST
Most developers encounter MCP as a way to give chat assistants better tools. This talk blows that ceiling off.
Using two open-source projects, Appium MCP and AppClaw, we'll show how MCP becomes the backbone of a fully autonomous agent that controls real Android and iOS devices without a human in the loop. The agent perceives a live UI tree, reasons about what to do next, calls MCP tools to act, observes the result, and loops handling stuck states, recovering from failures, and decomposing multi-app goals on its own.
We'll go deep on the architecture decisions that make this work in production: how dynamic tool discovery lets the agent adapt to new capabilities at runtime without code changes; how parsing raw UiAutomator2/XCUITest XML into compact representations makes mobile UI fit inside an LLM context window; why dual vision (DOM-first with screenshot fallback) beats either strategy alone; and how stuck detection transforms a fragile demo into a reliable engineering tool.
Attendees will leave with a concrete mental model for building agentic systems on MCP and an understanding of why the protocol matters far beyond tool-calling alone.
https://github.com/appium/appium-mcp
Speakers
avatar for Srinivasan Sekar

Srinivasan Sekar

Director of Engineering, TestMu AI
Srinivasan Sekar is the Director of Engineering at TestMu AI (formerly LambdaTest). He is the author of "The MCP Standard" and has a strong passion for contributing to open source projects. As an Appium Member, he has contributed to several open-source repositories, including Selenium... Read More →
avatar for Sai Krishna

Sai Krishna

Director of Engineering, TestMu AI
I am a Director of Engineering at LambdaTest with a decade of experience in testing mobile applications and building automation frameworks. As an active contributor to Appium and a member of the Appium organization, I am deeply involved in the open-source community. I am passionate... Read More →
Sunday June 14, 2026 5:40pm - 6:05pm IST
Lotus 1
  Building with MCP

6:05pm IST

Bringing the Cloud To the Edge — and Keeping the Data There: MCP-Orchestrated On-Device AI With Exe - Akkhil Gupta, deduceTheLogic
Sunday June 14, 2026 6:05pm - 6:30pm IST
The default AI stack today ships user data to a cloud endpoint and hopes for the best. But regulations like GDPR, India's DPDP Act, and sector-specific mandates (healthcare, finance, defense) increasingly demand that sensitive data never leave the device or jurisdiction. This talk presents a working architecture that squares the circle: run frontier-class SLMs (Phi-3 Mini, Gemma 2B) locally via Meta's ExecuTorch runtime on Android, while using Anthropic's Model Context Protocol (MCP) as the orchestration layer that decides what runs where, which tools the model can access, and what data governance policies are enforced — all without a single byte of PII hitting an external server.
Speakers
avatar for Akhil Gupta

Akhil Gupta

Founder, deduceTheLogic
I am a senior technology and AI leader with over 17 years of experience building and scaling large-scale platforms across AI/ML, data engineering, distributed systems, and enterprise product engineering. He currently serves as a Vice President – Technical, where he works at the... Read More →
Sunday June 14, 2026 6:05pm - 6:30pm IST
Lotus 1
  Building with MCP
 
Monday, June 15
 

10:00am IST

Keynotes To Be Announced
Monday June 15, 2026 10:00am - 10:55am IST

Monday June 15, 2026 10:00am - 10:55am IST
Lotus 1

11:30am IST

The Benchmark That Almost Convinced Us MCP Was Wrong - Ravi Madabhushi, Scalekit
Monday June 15, 2026 11:30am - 11:55am IST
We ran 75 benchmark runs comparing CLI and MCP for identical agent tasks. CLI won every efficiency metric.

For the simplest task like identifying a repo's language — CLI used 1,365 tokens. MCP used 44,026. That's a 32x difference, almost entirely schema overhead: 43 tool definitions injected into every conversation, most never touched.

CLI was also 100% reliable. MCP failed 28% of the time like TCP-level timeouts on a remote server that never responded.

If we'd stopped there: use CLI, skip MCP, move on.

But that benchmark tested one scenario: a single developer automating their own workflow. Not what production agent products look like.

The moment your agent acts as your customer's employees inside their orgs, across services they control — CLI becomes a liability. It inherits your credentials. Can't scope per user, per org, or per action. There'd be no audit trail and no consent as well.

The data is real. CLI is faster, cheaper, simpler. For personal dev tools, use it.

But if you're building a product with data that belongs to someone else, CLI works in demos. You won't catch the problem until a customer asks why your agent touched their Salesforce without asking.
Speakers
avatar for Ravi Madabhushi

Ravi Madabhushi

Cofounder & CTO, Scalekit
Ravi has been building infra for how software talks to other software for more than a decade. He co-founded Pipemonk — a SaaS integration platform acq. by Freshworks (NASDAQ listed) then spent years leading product on Freshworks' auth platform as it scaled to 50K+ businesses and... Read More →
Monday June 15, 2026 11:30am - 11:55am IST
Lotus 1
  Building with MCP

11:55am IST

Rethinking Testing for MCP Servers - Puja Jagani, BrowserStack
Monday June 15, 2026 11:55am - 12:20pm IST
MCP servers introduced a new kind of client: one driven by an LLM. Unlike traditional clients, this one is non-deterministic. It can call tools in unexpected sequences, with unpredictable inputs.

We can’t reliably test how an LLM will call our tools. This makes the MCP server the only component under our control and the one that must be tested rigorously. A well-designed server is a well-tested server.

While reviewing several popular MCP servers, I found that “works correctly” often means testing happy paths and checking that tool descriptions exist.

This talk introduces a practical testing model for MCP servers. Attendees will learn how to treat tool descriptions as functional contracts in their tests, how to design tests that cover real-world and deliberate out-of-order tool call sequences, essentially what an LLM would attempt, and how to validate error channels so that, when things go wrong, the server returns errors that are actually useful for an LLM to recover or respond appropriately. These are practical techniques that can be applied immediately.

The goal is to establish a testing mental model that can keep up with the fast-moving MCP ecosystem.
Speakers
avatar for Puja Jagani

Puja Jagani

Lead of Open Source and Developer Advocacy, BrowserStack
I lead Open Source and Developer Advocacy at BrowserStack, working at the intersection of engineering, community, and product. I’m a core committer and Technical Leadership Committee member for Selenium, collaborating with browser vendors to advance web automation. As a Developer... Read More →
Monday June 15, 2026 11:55am - 12:20pm IST
Lotus 1
  Building with MCP

12:20pm IST

MCP: The Gateway To Real-Time Human–AI Collaboration in Jupyter at Scale - Jake Diamond-Reivich, Project Jupyter
Monday June 15, 2026 12:20pm - 12:45pm IST
Jupyter Notebooks are critical medium for code, data, and ML, demanding a paradigm shift for AI assistance. With Jupyter's real-time collaboration and cloud-native evolution, it's becoming a powerful portal to a full data platform, beyond mere notebooks.

This session explores MCP as the essential framework for human-AI synergy within this expanded Jupyter ecosystem. Leveraging Jupyter's extensibility, MCP expands its API, opening gateways to services across the entire data, ML, and AI landscape. By extending Jupyter’s real-time collaborative models, MCP enables AI agents to seamlessly co-create alongside human developers. This integration moves beyond traditional AI coding assistance, fostering true parallel work without conflicting edits, eliminating friction and accelerating development.

The speakers will give the live demo showing how MCP provides the blueprint for connecting AI assistance directly with the Jupyter environment, both locally and in the cloud. This empowers builders to redefine human-AI interaction and unlock unprecedented productivity across the entire AI development lifecycle – from data preparation and feature engineering to LLMs fine-tuning and evaluations.
Speakers
avatar for Jake Diamond-Reivich

Jake Diamond-Reivich

Project Jupyter Executive Council Member, Project Jupyter
Jake Diamond Reivich is an Executive Council member of Project Jupyter. He is also the CEO and Founder of Mito, an open source company that builds on top of the Jupyter ecosystem. As an Executive Council member, the Jupyter community elects him to help steward Project Jupyter through... Read More →
Monday June 15, 2026 12:20pm - 12:45pm IST
Lotus 1
  Building with MCP
  • Audience Experience Level Any

12:45pm IST

Stateful AI Agents: Building Consistent Systems With MCP and Distributed SQL - Nasiullha Chaudhari, YugabyteDB & Vanshika Jain, Brudite Private Limited
Monday June 15, 2026 12:45pm - 1:10pm IST
An agent processes a payment, hits a timeout, and retries. Now the payment has been charged twice. The model didn’t hallucinate. The workflow did exactly what it was told. The problem is that nobody designed the agent to be safe under retry.

This is a distributed systems problem.

When agents read data, take actions, and write results back, correctness depends on how state is managed across steps. Under retries or concurrent execution, the same workflow can produce conflicting outcomes.

This talk shows how to build stateful AI agents using the Model Context Protocol with a PostgreSQL-compatible distributed database. Instead of treating memory as embeddings, we treat it as structured, transactional state.

You will learn how to design MCP tools for database operations, manage multi-step workflows, and handle failure modes such as retries and idempotency. We will also explore consistency tradeoffs in distributed systems.

The session ends with concrete patterns for building reliable agents, including idempotent tools and safe retry design.
Speakers
avatar for Nasiullha Chaudhari

Nasiullha Chaudhari

Developer Engagement Manager, YugabyteDB
Nasiullha Chaudhari works as a Developer Engagement Manager at YugabyteDB, focusing on AI systems, distributed databases, and cloud-native architectures. He works on real-world AI agent systems and focuses on what it takes to run them reliably in production.

He is a Docker Captain and an international speaker who has spoken at developer and infrastructure conferences globally. He shares practical insights through his YouTube channel with 180K+ subscribers and with 70K+ followers on LinkedIn... Read More →
avatar for Vanshika Jain

Vanshika Jain

Lead Engineer-Developer Relations, Brudite Private Limited
Software Engineer turned Trainer and Public Speaker. I love talking about Cloud, DevOps, and the power of community to make tech more approachable. Through mentoring, training sessions, and talks, I try to help others grow in their tech journey.
Being in a startup, I didn’t just... Read More →
Monday June 15, 2026 12:45pm - 1:10pm IST
Lotus 1
  Building with MCP

2:45pm IST

Keynotes To Be Announced
Monday June 15, 2026 2:45pm - 3:40pm IST

Monday June 15, 2026 2:45pm - 3:40pm IST
Lotus 1

3:50pm IST

Designing Low-Latency MCP Systems for High-Throughput Data Pipelines: Architecture and Bottlenecks, - Partha Sarthy, Applied Materials
Monday June 15, 2026 3:50pm - 4:15pm IST
MCP simplifies AI-tool integration — but in high-throughput, latency-sensitive pipelines, its performance characteristics can quietly become the bottleneck. Iterative reasoning loops, sequential tool invocations, and context amplification compound in ways that are easy to miss in development and impossible to ignore in production.

This talk presents a structured decomposition of end-to-end MCP latency — reasoning, communication, execution, and coordination — giving engineers a precise framework for identifying where overhead actually lives. We then present targeted optimizations: parallel tool invocation, streaming responses, schema minimization, and intelligent caching.

The core architectural argument: MCP belongs on the control plane. Separating adaptive orchestration from data-plane execution preserves deterministic performance where it matters, while keeping model-driven flexibility where it adds value. A fast path versus intelligent path pattern follows naturally from this separation. A case study comparing naive and optimized pipeline implementations makes the gains concrete.
Speakers
avatar for Partha Sarthy

Partha Sarthy

Software Engineer, Applied Materials
I am a Software Engineer at Applied Materials working in the HPC and AI domain. I have a cumulative experience of close to 8.5 years and have served in companies like HPE, Juniper and Cisco. I am also an active member of IEEE and have presented in Conferences relating to Solid State... Read More →
Monday June 15, 2026 3:50pm - 4:15pm IST
Lotus 1
  Building with MCP

4:15pm IST

Starling: Building a Pay-as-you-go MCP Server for Live Kubernetes Ops - Avinash Patil, Warble Cloud
Monday June 15, 2026 4:15pm - 4:40pm IST
Most MCP demos stop at "hello world over stdio." Shipping a production MCP server means answering harder questions: How do you authenticate callers? How do you meter usage? How do you safely hand an LLM a live Kubernetes cluster without giving it the keys to prod?

This talk walks through Starling, a production MCP server that exposes 17 Kubernetes tools — from list_pods to scan_cluster — to Claude, Cursor, and VS Code. It runs live on GKE at ops-mcp.warblecloud.com, charges credits per tool call, and handles ephemeral kubeconfigs without ever persisting them.

We'll cover concrete design decisions: dual-transport architecture (stdio for desktop agents, HTTP for remote), a Firestore-backed credit ledger with atomic per-tool debits, mode-gated write tools (scale_deployment only when --mode=readwrite), and the security model for handing an LLM temporary cluster access.

Attendees leave with a working mental model for turning an MCP prototype into a billable, multi-tenant service — plus the exact auth, transport, and RBAC patterns they can lift into their own servers.
Speakers
avatar for Avinash Patil

Avinash Patil

Chief Flow Officer, Warble Cloud
Avinash Patil is the founder of warblecloud.com (Chirpstack LLP Entity ), building MCP-native Kubernetes tooling. He leads the Starling project, a production MCP server for cluster intelligence. Previously, he spent over 12 years leading cloud-native platform engineering at global... Read More →
Monday June 15, 2026 4:15pm - 4:40pm IST
Lotus 1
  MCP Protocol in Depth

4:40pm IST

What a Database Team Discovers Building an MCP Server - Sfurti Sarah, Yugabyte & Heather Downing, YugabyteDB
Monday June 15, 2026 4:40pm - 5:05pm IST
Most MCP servers in production were built by AI teams. Meko's was built by a distributed SQL database team, and the view from this side of the stack is different.

Coming from storage, some decisions were obvious from day one. Memory, knowledge, conversation history, and structured data belong on one cluster, not four. Tenant isolation is a schema problem. The datapack, our per-agent namespace, fell out of the same instinct that builds any multi-tenant database.

Other decisions we only got right the second time. We started with a deployment model that gave every user their own MCP server, and pivoted to a shared fleet once we saw how real usage patterns played out. We shipped tools for capabilities that turned out to belong in skills. We learned where the language model needed a tight, opinionated surface and where it needed more room.

This talk is the story of what we brought to MCP from the database side, what we discovered once real agents started using it, and the pivots we made, including the ones still in flight.
Speakers
avatar for Sfurti Sarah

Sfurti Sarah

Senior Software Engineer, Yugabyte
Sfurti Sarah is a Senior Software Engineer at YugabyteDB working on Meko’s MCP server. Her work sits at the intersection of databases and LLMs, focusing on how these systems behave in real-world production environments.
avatar for HEATHER DOWNING

HEATHER DOWNING

Developer Advocate, YugabyteDB
Heather Downing is a Senior Developer Advocate at YugabyteDB and a Microsoft MVP focused on agentic AI, MCP, and secure software engineering.
7x MSFT MVP and fan of data in general.
Monday June 15, 2026 4:40pm - 5:05pm IST
Lotus 1
  Building with MCP

5:35pm IST

Beyond Tool Calls: Unlocking Interactive, Token-Smart Agents With MCP Apps - Suraj B, HDFC Bank
Monday June 15, 2026 5:35pm - 6:00pm IST
MCP Apps are reshaping what a Model Context Protocol server can do — turning text-only tool exchanges into rich, interactive experiences embedded directly in the host. This session takes a builder's tour of the MCP Apps extension: core concepts, target use cases (dashboards, multi-step workflows, human-in-the-loop confirmations), the security model, and current limitations worth knowing before adoption.
A central theme is the visibility paradigm — letting UI carry state the model doesn't need to see, unlocking meaningful token savings on data-heavy flows. We'll cover iframe sandbox constraints, postMessage patterns, session-bound identity, and prompt-injection defenses for sensitive actions. We will also cover existing protocol limitations and work going on to address the same in exp-apps working group.
We close with a live Go-based demo executing a fund transfer flow end-to-end.
Speakers
avatar for Suraj B

Suraj B

Senior Software Engineer
Suraj is a contributor to the MCP Go SDK and member of the MCP Financial Services Interest Group. He is a Lead Backend and AI Engineer at HDFC Bank, building agentic AI platforms with a focus on MCP server architecture and token optimization. A Go developer with ~10 years of experience... Read More →
Monday June 15, 2026 5:35pm - 6:00pm IST
Lotus 1
  Building with MCP

6:00pm IST

Building an MCP Marketplace: Lessons in Discovery, Versioning, and Trust - Saurabh Mishra, Optum/UnitedHealthGroup
Monday June 15, 2026 6:00pm - 6:25pm IST
This talk shares practical lessons from building a marketplace for MCP servers covering how to design a discovery layer that goes beyond a simple registry, handle versioning without breaking agent workflows, and establish trust signals (author verification, schema validation, sandboxed execution scores) that developers can actually rely on.
Attendees will walk away with concrete patterns for publishing and consuming MCP servers at scale, and an honest look at what breaks when you try to standardize a fast-moving ecosystem.
Speakers
avatar for Saurabh Mishra

Saurabh Mishra

Lead DevOps Engineer, Optum (UnitedHealthGroup)
Saurabh Mishra is a Cloud Evangelist and architect dedicated to high-level automation and DevOps excellence. He actively engages with the global tech community, sharing insights on cloud-native technologies, security best practices and multi-cloud strategies.As an experienced speaker and mentor... Read More →
Monday June 15, 2026 6:00pm - 6:25pm IST
Lotus 1
  Building with MCP

6:25pm IST

The 5 Wrong Reasons To Build an MCP Server (And What To Do Instead) - Daniel Oh, IBM
Monday June 15, 2026 6:25pm - 6:50pm IST
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
avatar for Daniel Oh

Daniel Oh

Senior Principal Developer Advocate, IBM
Java Champion, CNCF Ambassador & TAG DevEX Co-Chair, Microsoft MVP, Developer Advocate, Technical Marketing, Keynote Speaker, Published Author
Monday June 15, 2026 6:25pm - 6:50pm IST
Lotus 1
  Building with MCP
  • Audience Experience Level Any
 
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