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MCP Dev Summit Bengaluru 2026

June 9-10, 2026
Bengaluru, India
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

11:00am IST

Improving Reliability in MCP Applications Through Tool Design - Yashasvi Misra, Pure Storage

Tuesday June 9, 2026 11:00am - 11:25am IST

Convention Hall

Modern MCP applications depend on tools to extend model capabilities, yet tool interface design is a primary source of unreliability. Ambiguous descriptions, poorly structured schemas, and inconsistent outputs often lead to incorrect tool selection, invalid inputs, and unpredictable system behavior.

This session introduces a practical framework for designing reliable MCP tools. We begin with a concise mental model of how language models interpret tool interfaces, followed by real-world failure scenarios that expose common design pitfalls. Building on this, we present design principles for clear naming, well-defined schemas, and structured outputs, along with patterns for creating predictable and composable tools.

The session concludes with a practical checklist and actionable guidelines that attendees can immediately apply to improve reliability, reduce debugging complexity, and build robust MCP applications in production environments.

Speakers

Yashasvi Misra

Software Engineer, Everpure

Yashasvi Misra is a Software Engineer at Pure Storage and Chair of the NumFOCUS Code of Conduct Working Group. She has contributed to foundational projects like NumPy & Kubernetes and has been an active part of the Python community since her college days. Yashasvi is also a passionate... Read More →

Tuesday June 9, 2026 11:00am - 11:25am IST
Convention Hall

Building with MCP

Audience Experience Level Beginner

11:30am IST

Intelligence Placement Patterns for MCP-Connected Agent Systems - Giri Venkatesan, Solace

Tuesday June 9, 2026 11:30am - 11:55am IST

Convention Hall

MCP standardizes how tools are described and invoked, but not what they should return. That leaves a critical decision open: whether an MCP tool returns raw data, shared state, or decisions. That choice determines where intelligence lives.

This talk presents three placement patterns in MCP tool design. Centralized Intelligence treats tools as data sources, returning raw inputs agents must interpret. Streaming Intelligence exposes pre-processed state so agents operate on shared context. Edge Intelligence pushes decisions into tools, with MCP delivering opinionated outputs rather than raw inputs.

These patterns produce fundamentally different behavior across tool call volume, context window usage, latency, and failure modes. In multi-agent systems they determine whether agents converge or diverge: raw data per agent leads to inconsistent reconstruction; shared state or decisions make coherence a property of the architecture itself.

This talk introduces a practical decision framework for MCP tool design based on data volatility, agent reuse, and consistency requirements.

MCP is a tool contract. Intelligence placement is the architectural decision it doesn't make for you.

Speakers

Giri Venkatesan

Principal Developer Advocate, Solace

Giri Venkatesan is a Developer Advocate and Architect at Solace, focused on agentic AI, event-driven architecture, and enterprise integration. With decades of experience, he helps organizations design autonomous AI agents that reason and act across distributed systems, using events... Read More →

Tuesday June 9, 2026 11:30am - 11:55am IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate

12:00pm IST

Context-Aware MCP Servers for Small Language Models - Vivek Mankar, Anto Ajay Raj John, Stuti Sinha, Reeva Nanda, Nethra Khandige, Pradipta Ghosh, IBM

Tuesday June 9, 2026 12:00pm - 12:25pm IST

Small Language Models are great for edge and cost-sensitive deployments, but struggle with limited context windows. This talk shows how MCP servers can act as an external memory and context orchestration layer for SLMs. Based on a survey of 25+ long-context reasoning techniques, we demo concrete implementations: episodic memory with surprise-based retrieval (EM-LLM-inspired), and a dynamic context orchestrator that picks between RAG, summarization, and sliding-window strategies based on query type and model capacity. This is a builder's guide to making small models punch above their weight via smart MCP-based context engineering.

Speakers

Vivek Mankar

Staff AI Engineer, IBM

Vivek Mankar is an AI Software Engineer specializing in high-performance AI inference systems and scalable cloud software. Operating at the intersection of deep learning and systems engineering, his work focuses on the PyTorch ecosystem, LLM serving, and MLOps automation. Backed by... Read More →

Nethra Khandige

AI Engineer, IBM

Nethra Khandige is an AI Engineer at IBM, working on the PyTorch ecosystem, AI inference optimization, and context-aware AI systems. Backed by a strong research foundation, including published work in malware detection, neural network inference, deep reinforcement learning with published... Read More →

Anto Ajay Raj John

AI Engineering Manager, IBM

Anto John is a senior manager for AI with industry experience of 20 years. He has been working on AI projects for the past 10 years in various capacity. He was one of the core team members of the IBM BlueGene/Q supercomputer. He was the performance architect for IBM Power Systems... Read More →

Stuti Sinha

Software Engineer, IBM

Stuti Sinha is a researcher and developer focused on the intersection of model efficiency and AI safety. With a background in Python, Java, and C++, she specializes in the PyTorch ecosystem, specifically optimizing Long Context Reasoning and architecture for Small Language Models... Read More →

Reeva Nanda

Software Engineer, IBM India

Reeva Nanda is a software developer and AI ML researcher with strong theoretical foundations in generative AI, deep learning, and neural network architectures. Deeply passionate about the mathematics underpinning modern AI , particularly linear algebra and its role in model design... Read More →

Pradipta Ghosh

AI software Architect, IBM

Context Aware MCP Servers for SLMs pdf

Tuesday June 9, 2026 12:00pm - 12:25pm IST
Scarlet 2&3

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

12:00pm IST

OWASP MCP Top 10: A Practical Security Guide for MCP Builders - Sankalp Sandeep Paranjpe, Big4 Consulting Firm; Dheeraj Choudhary, AWS

Tuesday June 9, 2026 12:00pm - 12:25pm IST

Convention Hall

MCP adoption has outpaced security. An audit of 17 popular MCP servers found an average security score of 34 out of 100. Tool poisoning attacks succeed at 84.2% with auto-approval enabled. Over 30 CVEs have been filed against MCP implementations in the past 60 days. The first confirmed malicious MCP server, postmark-mcp, silently BCC'd every outgoing email to an attacker-controlled address for weeks before detection.

OWASP responded with the MCP Top 10, a structured threat taxonomy purpose-built for the protocol. This talk is a practitioner's walkthrough of all ten risks, not a slide-read, but a builder's guide to what each risk looks like in a real MCP deployment, how it gets exploited, and what a concrete fix looks like in code.

We cover token mismanagement and secret exposure, prompt injection via tool responses, tool poisoning through malicious descriptions, excessive permissions, insecure output handling, context over-sharing, missing authentication, rug-pull attacks, shadow MCP servers, and the audit trail gap.

Leave with a pre-deployment security checklist you can run against any MCP server before connecting it to production.

Speakers

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 →

Dheeraj Choudhary

Cloud, Devops & AI Consultant, DC Edusphere Solutions

Tuesday June 9, 2026 12:00pm - 12:25pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate

2:25pm IST

Voice-First MCP: Real-Time Tool Calling Through a Spoken Interface - Samyuktha Mohan Alagiri, IBM

Tuesday June 9, 2026 2:25pm - 2:50pm IST

Convention Hall

Every MCP demo assumes text in and text out. This talk explores what actually happens when you replace the text interface with a live voice stream.
Connecting a real-time voice pipeline to an MCP-backed agent introduces problems that the current MCP ecosystem has no established answers for. This talk walks through them one by one: end-of-turn detection and how tool-calling latency affects perceived conversational fluency, interruption handling when a user speaks while a tool is executing, tool result verbalization where structured JSON responses need to be narrated naturally without losing meaning, and error communication when a tool fails mid-conversation.
The talk is grounded in a working system built with a real-time voice layer, Sarvam AI for speech processing, and MCP-connected agents handling live tool calls. Attendees will see a live demo and leave with an architectural blueprint for voice-first MCP agents, including the specific latency budgets, buffering strategies, and verbalization patterns that make the experience feel natural rather than robotic.
This is a frontier that very few builders have shipped in production.

Speakers

Samyuktha M S

Software Developer, IBM

Samyuktha is a Software Developer at IBM India Software Labs who loves building things that actually work in production, from voice agents and multilingual multi-agent pipelines to self-healing infrastructure using MCP, LangGraph, Claude, and Qdrant. A 13x hackathon winner including... Read More →

Voice First MCP Real Time Tool Calling Through a Spoken Interface pdf

Tuesday June 9, 2026 2:25pm - 2:50pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

2:55pm IST

Putting MCP on a Diet: A Proxy for Tool Scoping and Context Compression - Prathamesh Saraf, Truefoundry

Tuesday June 9, 2026 2:55pm - 3:20pm IST

Convention Hall

Connect three MCP servers and 55,000 tokens are consumed before the agent reads the user's query. Perplexity's CTO called this out at Ask 2026. Cloudflare measured 244,000 tokens for their API surface. The protocol isn't the problem. The "load everything upfront" pattern is.

FastMCP Code Mode solves this server-side, but requires the server author to opt in. Most MCP servers in the wild will never add it.

I'm currently building mcp-guardian, an open-source Python proxy that addresses this for any server, unmodified. It will do two things:

1. Tool scoping: filter tools/list against a YAML config so agents only see allowed tools. delete_repo won't exist in the agent's world.

2. Progressive disclosure: expose three meta-tools (search_tools, get_schema, execute_tool) instead of full schemas. Agents will start at ~300 tokens instead of ~8,000 and load schemas on demand.

I'll live-demo: direct connection (14 tools, ~8,000 tokens) vs through the proxy (3 meta-tools, ~300 tokens). I'll walk through the JSON-RPC interception, share token benchmarks, and compare with Code Mode. They're complementary, not competing.

The project will be open source.

Speakers

Prathamesh Saraf

Sr. Forward Deployed Engineer, Truefoundry

I'm a senior forward-deployed engineer specializing in GenAI: voice agents, agentic workflows, RAG, and the infrastructure underneath. I ship in customer environments, with customer teams, against customer constraints, and I stay through the part where systems have to actually keep... Read More →

presentation pdf

Tuesday June 9, 2026 2:55pm - 3:20pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

4:20pm IST

MCP Resources Are Already a Knowledge Graph - You Are Just Not Reading the Headers - Kesigan Anbalagan, Comcast

Tuesday June 9, 2026 4:20pm - 4:45pm IST

Convention Hall

Most retrieval systems ignore the structure MCP Resources already provide unique URIs, typed links, version metadata, timestamps and flatten everything into vector chunks. GraphRAG proved retrieval needs relational structure; MCP already has it natively.
This talk demonstrates with a live adversarial demo: a vanilla RAG agent and a Resource-graph agent answer the same questions against the same corpus. RAG works on single-hop queries. It confidently returns stale data when a superseded document exists. The graph agent catches the version conflict using last-modified metadata that was already there. When the graph has a broken link, it reports the dead end instead of hallucinating.
A hop-count benchmark across seven questions (1–5 hops) makes the gap measurable: at three hops, RAG hit rate dropped to 50% while graph traversal held at 100%.
The primary deliverable is a draft cross-reference metadata convention four optional fields (superseded_by, depends_on, implements, compliance_scope) that any MCP Resource provider can add without breaking existing consumers. The goal: make knowledge as navigable for AI agents as hypertext made the web for people.

Speakers

Kesigan Anbalagan

Principal Engineer, Comcast India Engineering Center LPP

I am Kesigan Anbalagan technology leader and AI enthusiast with extensive experience in cloud-native solutions, developer experience platforms, and enterprise AI integration. As part of the Central DevX team at Comcast, he focuses on embedding AI across the software development lifecycle... Read More →

MCP Resources KnowledgeGraph pdf

Tuesday June 9, 2026 4:20pm - 4:45pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

11:00am IST

From Intent To Production: MCP Gateway Patterns for Regulated Banking - Hariskumar Panakkal, Wipro

Wednesday June 10, 2026 11:00am - 11:25am IST

Convention Hall

I spent the last year building agentic systems with MCP and MCP Gateway, and want to share what I learned — especially the things you only hit when you try to build for a real, regulated domain.

The build is a four-part system: a React portal, a LangGraph agent, Microsoft MCP Gateway as the front door, and a FastMCP server with 19 tools behind it. This talk walks through how the pieces fit together and the specific patterns that worked.

What I'll cover:

- How I structured MCP tools with Pydantic schemas, idempotency keys, and correlation IDs that travel through every layer
- Why my first three gateway deployments failed and how the mcp-session-id header fixed stateful tool routing through MCP Gateway
- A simple tool wrapper pattern that keeps sensitive data like SSN out of the LLM context while the agent still reasons about the workflow
- Why I made consent its own MCP tool with a signed receipt instead of bundling it into submit
- Three gaps I hit in MCP and the gateway and how I worked around them — honest notes for the community

If you're building with MCP and MCP Gateway and heading toward anything production-grade, these are the patterns I wish I'd had going in.

Speakers

Hariskumar Panakkal

Distinguished Member of Technical Staff (DMTS) and Enterprise Architect, Wipro

Hariskumar Panakkal is an Enterprise Architect and Distinguished Member of Technical Staff (DMTS), recognized with the 2025 Most Valuable Technologist (MVT) award. With a background in cloud transformation and responsible AI, he has spent the last year building agentic systems on... Read More →

MCP DevSummit Bengaluru Deck DevSummit Denali v1 pdf

Wednesday June 10, 2026 11:00am - 11:25am IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

11:30am IST

Beyond Tool Calls: Unlocking Interactive, Token-Smart Agents with MCP Apps - Suraj B, HDFC Bank

Wednesday June 10, 2026 11:30am - 11:55am IST

Convention Hall

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

Suraj B

Lead Engineer, HDFC Bank

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 →

Wednesday June 10, 2026 11:30am - 11:55am IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

11:30am IST

Building Interactive Tools With MCP Elicitation - Ashwin Hariharan, Redis

Wednesday June 10, 2026 11:30am - 11:55am IST

Most of us think of agent tools as vending machines - you put in the right input, you get the right output. Put in the wrong input, and you either get the wrong output or nothing at all.

This breaks for complex workflows where context is incomplete or intent is ambiguous. The tool either guesses wrong or fails outright. No back-and-forth, no clarification. Good AI tools built for conversation should explain what they need, what they'll do, and provide clear options.

In this session, we’ll look at how MCP elicitation works in practice across different workflows: covering ambiguous input, missing context, risky operations, and auth flows. Attendees will leave with concrete patterns for designing tools that go beyond transactional APIs to collaborative multi-turn interactions.

Speakers

Ashwin Hariharan

Developer Advocate, Redis

Ashwin Hariharan is a Developer Advocate at Redis, with over eight years of experience as a full-stack software engineer. He's passionate about making complex ideas simple, helping developers build faster, more reliable systems, and understand the "why" behind the tools they use.
... Read More →

building interactive tools with mcp elicitation ashwin hariharan.pptx pdf

Wednesday June 10, 2026 11:30am - 11:55am IST
Scarlet 2&3

Building with MCP

Audience Experience Level Intermediate

12:00pm IST

Running MCP Fully Local: Private, Offline-Capable Agents With Ollama and Open Models - Harish Kotra, Forge Alumnus

Wednesday June 10, 2026 12:00pm - 12:25pm IST

Convention Hall

Over the last few months I've built and shipped 100+ agents in public, many wired into MCP servers running against local models through Ollama, LM Studio, and decentralized open-source inference. A draw.io MCP server driven by Llama 3.2, an Excalidraw MCP integration, a Bright Data MCP briefing agent, all running end-to-end without a single token leaving the host.

This talk is a working engineer's tour of that stack. We'll walk through a minimal local MCP setup (server + client + Ollama) and then dig into the real-world failure modes: tool-selection collapse on 7B models, JSON-schema compliance gaps, capability-negotiation mismatches, and the surprisingly large quality delta between structured-output fine-tunes and general chat models. I'll share the prompt shapes, tool-description patterns, and schema-validation tricks that reliably push small open models from "demo-grade" to "I'd ship this internally."

Attendees will leave with a reference architecture for private MCP, a shortlist of open models that actually handle tool calls well today, and a set of design patterns for MCP servers that degrade gracefully when the client LLM has 8B parameters instead of a trillion.

Speakers

Harish Kotra

DevX Lead, xo.builders

Harish is a Fractional CTO and AI agent builder based in India. He previously led Developer Relations at Gaia and spent over a decade at AngelHack organizing 200+ hackathons. Since 2026 he's published one new open-source AI agent every day at dailybuild.xyz, 100+ builds spanning MCP... Read More →

[MCP Dev Summit BLR] Running MCP Fully Local pdf

Wednesday June 10, 2026 12:00pm - 12:25pm IST
Convention Hall

Building with MCP

Audience Experience Level Any
Session Slides Yes

1:55pm IST

One MCP Server, Five Languages, Zero Containers - Bharath Nallapeta, Mirantis Inc.

Wednesday June 10, 2026 1:55pm - 2:20pm IST

Convention Hall

In 2013, shipping a Python service meant picking a base OS, writing an initscript, and fighting pip against the system package manager. Docker made it one command. Twelve years later, shipping an MCP server still feels pre-Docker — pick a language, spin up a process, hope the dependencies cooperate.

The WebAssembly Component Model quietly shipped the pieces it was missing in 2023. wasmcp, Microsoft Wassette, and Fermyon Spin now compose a single MCP server from Python tools that use pandas, TypeScript tools that use Zod, and Rust middleware that uses Regorus. One process. Hard isolation between components. One signed artifact, distributed through OCI registries, cold-starting in the low milliseconds.

This is a live-demo talk. I'll build a polyglot MCP server on stage, push it to a registry, and run the same bytes in four environments — a Kubernetes pod, a Spin function, a browser tab, and a Raspberry Pi. And I'll be honest about what WASM still can't do.

Speakers

Bharath N R

Team Lead, OSPO, Mirantis Inc.

Bharath Nallapeta leads the Open Source Program Office at Mirantis, where he navigates the intersection of AI, cloud-native technologies, and open source strategy. With deep expertise in Kubernetes and platform engineering, he's experienced firsthand how AI is transforming engineering... Read More →

Wednesday June 10, 2026 1:55pm - 2:20pm IST
Convention Hall

Building with MCP

Audience Experience Level Beginner

2:25pm IST

Skills Are Not MCP Servers: When To Use Which (and How To Make Them Work Together) - Animesh Pathak & Jyoti Bisht, Harness Inc

Wednesday June 10, 2026 2:25pm - 2:50pm IST

Convention Hall

There's a running argument in the AI tooling world right now do you need MCP servers, or can you just use Skills? I've been on both sides of this. At Harness, I've built Claude Skills for DevOps workflows and worked with our MCP server that wraps the entire platform. And the honest answer is: it depends, but most people are picking the wrong one for the wrong job.

In this talk I'll break down where the boundary actually is. Skills are great when the knowledge is stable conventions, workflow logic, best practices. MCP servers earn their keep when you need live data, real-time API calls, or actions with side effects. The interesting part is what happens when you layer them: a Skill that knows how to debug a failed deployment, calling an MCP server that pulls live pipeline logs and execution data.

I'll walk through real examples I've built skills that started as simple "SKILL.md" files and grew into MCP-backed workflows, and cases where I over-engineered an MCP server when a markdown file would've done the job. If you're building agents and trying to figure out the right architecture, this talk should save you some wrong turns.

Speakers

Animesh Pathak

DevRel Engineer, Harness

Jyoti Bisht

Senior Developer Relations Engineer, Harness

Jyoti Bisht is a Senior Developer Relations Engineer with 4+ Years of experience working at the intersection of cloud infrastructure, open source and community building. A CNCF community member, GSoC contributor, and MLH pod leader, she has spoken at DevRelCon, etc. When she is not... Read More →

Skills are not MCP server pptx

Wednesday June 10, 2026 2:25pm - 2:50pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate
Session Slides Yes

2:55pm IST

Sponsored Session: You Built an MCP Server – Now What? The Path from Prototype to Production - Jatin Mehrotra & Varsha Das, AWS

Wednesday June 10, 2026 2:55pm - 3:20pm IST

MCP prototyping on a laptop is deceptively simple — a few decorators, a stdio transport, and your agent has tools. But the moment you try to serve your team, reality hits: who authenticates callers, how do sessions stay isolated, what happens when three agents invoke your server concurrently, and who traces the call that went wrong at 2 AM?

This talk follows the lifecycle of a real MCP server — from a single-file prototype to a production deployment running on a managed cloud runtime. Along the way, we unpack the four walls every MCP server hits on its way out of localhost: transport (stdio to streamable HTTP), identity (from trust-everyone to verify-everything), concurrency (single-user to multi-session isolation), and observability (from print() to distributed traces).

The highlight is a live demo where we take a three-tool MCP server, deploy it to a managed runtime with zero infrastructure code, connect an AI agent that discovers those tools automatically via the MCP protocol, and then show what production actually looks like — traced multi-tool invocations, session memory across turns, and guardrails blocking a destructive call in real time.

You will leave with a clear mental model of the production gap, a concrete deployment path you can replicate the same evening, and a checklist of what "production-ready" actually means for MCP servers — so the next tool you build doesn't stay trapped on your laptop.

Speakers

Jatin Mehrotra

Developer Advocate, AWS

I am a developer advocate at AWS. I focus on building cloud infrastructure based solutions and now focusing on Generative AI solutions while prioritising a developer-centric approach to my work. Outside of work, I enjoys lifting, Hiking and Saunas.

Varsha Das

Developer Advocate, AWS

Backend engineer turned Developer Advocate. 7 years in healthcare + fintech taught me that technical complexity is just storytelling waiting to happen. As a Developer Advocate at AWS, I tell those stories better through demos, write technical deep-dives, and speak at conferences... Read More →

Wednesday June 10, 2026 2:55pm - 3:20pm IST
Scarlet 2&3

Building with MCP

2:55pm IST

The Invincible MCP Server: Building Crash-Proof AI Tools With Durable Execution - Shubham Londhe, Temporal

Wednesday June 10, 2026 2:55pm - 3:20pm IST

Convention Hall

We All have been building AI Agents with MCP since it launched in 2024, but there's one thing no one is talking about - "What happens when MCP Fails? (and they fail often). MCP is just a process and it can crash, and so will the AI agent progress, it all can vanish with a crash.

Well, the new Tasks primitive in MCP (SEP-1686) helps a lot, it gives your AI agents a way to hand off long-running tools, but it doesn't solve the real problem. They don't maintain the state when the server crashes.

In this session, I'll do a live demo of a Kubernetes Auto Healing AI Agent with MCP server and walk through how to wrap MCP tool logic in workflows that survive crashes, restarts, and network failures.
I'll cover how to handle human-in-the-loop approvals inside long-running tools, how to retries and state-management, and how to observe what your MCP tools are doing in production.

I'll be breaking a running server on stage and show you the agent recovering without losing a step. Hence "The Invincible MCP Server"

Speakers

Shubham Londhe

Senior Developer Advocate, Temporal

Hello Dosto, I am Shubham Londhe, a Senior Developer Advocate, passionate about developing and deploying production-ready applications.

Its been more than 9+ years in the IT industry and having worked with AWS, Temporal, gave me a lens of how Production-readiness works.

I take this experience and share it with learners across India through my YouTube channel "TrainWithShubham" with over 175000 subscribers. Happy Learning... Read More →

Wednesday June 10, 2026 2:55pm - 3:20pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate

3:25pm IST

Building Rich AI-Native UI for Agentic Interactions Using MCP Apps - Ashita Prasad, AWS

Wednesday June 10, 2026 3:25pm - 3:50pm IST

Convention Hall

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

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 →

Wednesday June 10, 2026 3:25pm - 3:50pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate

4:20pm IST

The MCP Has No Clothes: What Most Benchmarks Miss About Real MCP Servers - Arnav Balyan, Concierge AI

Wednesday June 10, 2026 4:20pm - 4:45pm IST

Convention Hall

As MCPs mature, a gap emerges between benchmark performance and production behaviour:

1. Servers are tested in isolation, however in production they run alongside 100s of other servers, which affects tool selection. Typical evaluation frameworks are unable to reproduce this scale.
2. Single tool calls cannot test workflow compliance (the order and dependency of tool calls across multi step tasks).
3. Benchmarks are unable to measure user experience or quantify transcript quality.

This talk presents the design philosophy for robust MCP evaluation, grounded on field data and traffic analysis from 400+ production MCP servers.

We introduce a set of success metrics for MCP server authors and show how this re-order benchmark leaderboards, why servers that top toy evals regress in production, and what server authors should measure before shipping.

Attendees leave with a framework they can apply directly, data to benchmark against, and a clearer view of how they can adopt MCP confidently at scale for enterprise and internal usecases.

Speakers

Arnav Balyan

CEO, Concierge AI

Founder of Concierge AI. Ex-Uber building MCP systems at scale. Concierge AI manages 400+ public MCP deployments, Arnav focuses on MCP tool complexity and researches token overhead reduction at scale.

Wednesday June 10, 2026 4:20pm - 4:45pm IST
Convention Hall

Building with MCP

Audience Experience Level Intermediate

4:50pm IST

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

Wednesday June 10, 2026 4:50pm - 5:15pm IST

As the ecosystem for the Model Context Protocol (MCP) expands, developers are hitting a familiar wall: token bloat. While MCP provides a powerful standardized interface for LLMs to interact with external data, the "context tax" of verbose tool definitions and massive data payloads can quickly degrade performance and spike costs. To build production-ready agents, we must move beyond basic implementations and embrace advanced orchestration.

This session dives into the architecture of efficient MCP server design, focusing on the "Code Mode" technique. We will explore how to shift the heavy lifting from the LLM’s reasoning space to the server’s execution environment. Instead of forcing the model to process raw, unrefined data, "Code Mode" empowers the LLM to generate and ship logic—miniature, execution-ready scripts—directly to the MCP server. This approach minimizes round-trip latency and drastically reduces the input tokens required for complex data manipulation.

Speakers

Bhumika Satpathy

Senior Software Engineer, Google

I am a Senior Software Engineer at Google and have been working with the MCP Platform team which helps to ease out creation and deployment of MCP Servers for developers within Google. We have solved multitude of challenges that users have faced and explored multiple techniques in... Read More →

Wednesday June 10, 2026 4:50pm - 5:15pm IST
Scarlet 2&3

Building with MCP

Audience Experience Level Beginner

5:20pm IST

Why Our AI Agent Couldn't Scale Without MCP — and How We Built It - Para Hitesh & Mohit Jichkar, Red Hat

Wednesday June 10, 2026 5:20pm - 5:45pm IST

Building an AI sales assistant means pulling data from everywhere , Salesforce for accounts, Snowflake for product catalogs, and internal KBs for pricing. We started by hardcoding each integration into the agent. It worked until every new data source meant rewriting agent code, duplicating auth logic, and redeploying everything. Tool definitions were tightly coupled, making it impossible to evolve the data layer independently.MCP changed everything. In this talk, I'll walk through how we built a production AI sales assistant using LangGraph connected to multiple MCP servers ,each wrapping a different backend, owned by a different team. I'll cover: why direct integrations become unmaintainable at 3+ sources; our reusable FastMCP server template that spins up domain-specific servers in days; how a user's SSO token flows end-to-end from agent through MCP to Snowflake OAuth with zero credential storage; why tool descriptions and agent prompts matter more than the protocol itself , and the patterns we developed (normalize-before-search, dynamic prompt injection) to make the LLM reliably pick the right tool; and what broke in production with real failures and real fixes.

Speakers

Mohit Jichkar

Senior Data Scientist, Red Hat

Mohit Jichkar is a Senior Data Scientist at Red Hat, where he builds AI-powered solutions. He has 7+ years of experience working across data science, machine learning, and AI. He has an M.Tech in Data Science and Engineering from BITS Pilani. He holds several US patents in AI based... Read More →

Para Hitesh

Senior Data Scientist, Red Hat

Hitesh Para is a Senior Data Scientist at Red Hat, where he builds AI-powered solutions . Prior to Red Hat, he spent over 4 years at Genpact specializing in NLP and Generative AI solutions. Hitesh holds a Google Professional Machine Learning Engineer certification, has published research... Read More →

MCP Dev Summit Build with MCP pdf

Wednesday June 10, 2026 5:20pm - 5:45pm IST
Scarlet 2&3

Building with MCP

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