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June 9-10, 2026
Bengaluru, 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 Bengaluru 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: Convention Hall clear filter
Tuesday, June 9
 

9:30am IST

Keynotes To Be Announced
Tuesday June 9, 2026 9:30am - 10:25am IST

Tuesday June 9, 2026 9:30am - 10:25am IST
Convention Hall

10:55am IST

Improving Reliability in MCP Applications Through Tool Design - Yashasvi Misra, Pure Storage
Tuesday June 9, 2026 10:55am - 11:20am IST
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
avatar for Yashasvi Misra

Yashasvi Misra

Software Engineer, Pure Storage
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 advocate for diversity and inclusion in tech. She has shared her work and insights at conferences around the world, including PyCon India, PyCon Europe, PyLadiesCon, and PyData Global... Read More →
Tuesday June 9, 2026 10:55am - 11:20am IST
Convention Hall
  Building with MCP

11:20am IST

Intelligence Placement Patterns for MCP-Connected Agent Systems - Giri Venkatesan, Solace
Tuesday June 9, 2026 11:20am - 11:45am IST
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
avatar for Giri Venkatesan

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 11:20am - 11:45am IST
Convention Hall
  Building with MCP

11:45am 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 11:45am - 12:10pm IST
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
DC

Dheeraj Choudhary

AWS Hero, AWS
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 →
Tuesday June 9, 2026 11:45am - 12:10pm IST
Convention Hall
  Building with MCP

12:10pm IST

From SSE To Streamable HTTP: What Actually Changed in MCP's Transport Layer and Why You Should Care - Animesh Pathak, Harness Inc
Tuesday June 9, 2026 12:10pm - 12:35pm IST
When I started building MCP-powered agents and Claude Skills at Harness, I kept running into weird transport issues, connections dropping behind load balancers, SSE endpoints behaving differently across clients, tutorials that contradicted the actual spec. Turns out, MCP's transport layer had quietly gone through a major overhaul and most of the content out there hadn't caught up.

In this talk, I'll walk through MCP's transport journey, stdio for local tooling, the dual-endpoint SSE model that powered early remote servers, and the Streamable HTTP design that replaced it in the March 2025 spec update. More importantly, I'll explain why each shift happened: the scaling headaches SSE caused, the connection recovery gap, and the auth/CORS simplifications that Streamable HTTP unlocked.

I'll share code from actual migrations I've worked through, what breaks when you switch, what gets simpler, and the backward-compatibility gotchas that the docs don't warn you about. If you're building or maintaining MCP servers today, this should save you a few weekends of debugging.
Speakers
avatar for Animesh Pathak

Animesh Pathak

DevRel Engineer, Harness
Animesh Pathak is a Developer Relations Engineer with a strong focus on Database DevOps, APIs, testing, and open-source innovation. Currently at Harness, he plays a key role in building and evangelizing scalable DBDevOps workflows, bridging the gap between developers and data teams... Read More →
Tuesday June 9, 2026 12:10pm - 12:35pm IST
Convention Hall
  MCP Protocol in Depth

2:15pm IST

Keynotes To Be Announced
Tuesday June 9, 2026 2:15pm - 3:10pm IST

Tuesday June 9, 2026 2:15pm - 3:10pm IST
Convention Hall

3:20pm IST

Voice-First MCP: Real-Time Tool Calling Through a Spoken Interface - Samyuktha Mohan Alagiri, IBM
Tuesday June 9, 2026 3:20pm - 3:45pm IST
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
avatar for Samyuktha M S

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 →
Tuesday June 9, 2026 3:20pm - 3:45pm IST
Convention Hall
  Building with MCP

3:45pm IST

Putting MCP on a Diet: A Proxy for Tool Scoping and Context Compression - Prathamesh Saraf, Truefoundry
Tuesday June 9, 2026 3:45pm - 4:10pm IST
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
avatar for Prathamesh Saraf

Prathamesh Saraf

Sr. Forward Deployed Engineer, Truefoundry
Prathamesh Saraf is a Sr. Forward Deployed Engineer at TrueFoundry, where he helps enterprises and startups build LLM and AI agent systems. He is the author of "My Adventures with Large Language Models," a technical book on building LLM architectures from scratch in PyTorch, covering... Read More →
Tuesday June 9, 2026 3:45pm - 4:10pm IST
Convention Hall
  Building with MCP

4:10pm IST

MCP Schema Evolution: Versioning Tool Contracts Without Breaking Agents - Yogesh Sardana, Admiral Group PLC
Tuesday June 9, 2026 4:10pm - 4:35pm IST
This is not just about Admiral Group PLC but for every organisation, tool schemas in MCP evolve as platforms change parameters get renamed, new required fields are added, response shapes shift. Agents built against an older schema break silently, produce incorrect results, or enter undefined behavior, and there is no established SemVer discipline for MCP tools today. This session proposes a practical versioning specification for MCP tool definitions covering additive-only change policies, explicit deprecation signals embedded in tool metadata, capability negotiation via request headers, and client-side schema compatibility layers. The session demonstrates these patterns with a real Kubernetes tool server that ships v1 and v2 tool definitions side by side, with running agents targeting each version independently, and a live migration showing how a breaking change is introduced and absorbed without downtime.
Speakers
avatar for Yogesh Sardana

Yogesh Sardana

Cloud Engineering Researcher & Leader, Admiral Group PLC
I'm working as a Cloud Leader, part of R&D wing, known as Jack of all trades but master of Cloud. Been into various tech stacks before of SDLC like Full Stack App Dev, Testing, Data Analytics, having fun with tech.
Tuesday June 9, 2026 4:10pm - 4:35pm IST
Convention Hall
  MCP Protocol in Depth
  • Audience Experience Level Any

5:15pm IST

MCP Resources Are Already a Knowledge Graph - You Are Just Not Reading the Headers - Kesigan Anbalagan, Comcast
Tuesday June 9, 2026 5:15pm - 5:40pm IST
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
avatar for Kesigan Anbalagan

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 →
Tuesday June 9, 2026 5:15pm - 5:40pm IST
Convention Hall
  Building with MCP

5:40pm IST

When MCP Meets Reality: Performance, Latency, and the Hidden Cost of AI Orchestration in Enterprises - Partha Sarthy, Applied Materials
Tuesday June 9, 2026 5:40pm - 6:05pm IST
MCP enables powerful AI-driven workflows — but production enterprise systems have SLAs, throughput contracts, and years of performance tuning. Wiring a reasoning loop into that environment reveals costs that don't show up in demos: latency amplification from sequential tool invocations, data movement overhead across system boundaries, schema drift, and observability gaps that span model reasoning and distributed backends.

This talk takes a systems-engineering lens to MCP in enterprise-scale data platforms. We formalize the MCP execution pipeline, identify where overhead accumulates, and present architectural patterns that contain the cost — including isolating orchestration from hot paths, fronting high-performance backends with thin MCP adapters over gRPC, and tracing multi-step workflows end to end.

The central argument: MCP belongs on the control plane, not the data plane. Enforce that boundary, and you gain adaptive orchestration without sacrificing reliability. Cross it, and predictability erodes fast. Attendees leave with a latency model, a failure-mode taxonomy, and a practical framework for deploying MCP in production — deliberately, not by accident.
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 →
Tuesday June 9, 2026 5:40pm - 6:05pm IST
Convention Hall

6:05pm IST

When Dashboards Lie: Building MCP Tools That Chase Down the Truth - Hrittik Roy & Saiyam Pathak, vCluster
Tuesday June 9, 2026 6:05pm - 6:30pm IST
Dashboards lie. Not maliciously, structurally. Aggregation hides the tenant on fire. Sampling drops slow requests. The p99 looks fine because 47 users who timed out are a rounding error. Every SRE has lived this: green screen, Slack on fire, hunting across five tools to find what the dashboard refused to show.

This is a field report from building MCP tools that do the hunting. The agent does not replace the SRE. It does the grunt work nobody has time for at 3 AM: pulling exemplar logs for the slowest 0.1 percent, correlating a deploy against error rates, checking if the metric was even reporting.

1. Why dashboards lie. Sampling, aggregation, the "aggregate green, individual red" pattern.
2. MCP tool design for truth-seeking. Read-only vs side-effecting split, partial-data schemas, outputs that make the model admit uncertainty instead of hallucinating "all good."
3. Correlation loops that work. Deploy to error rate to exemplar logs to suspected change, not seventeen tabs.
4. Guardrails from production. Prompt injection in logs, cost blow-ups, tools we took back after one bad incident.

Attendees leave with patterns for MCP tools that chase down what dashboards will not show.
Speakers
avatar for Saiyam Pathak

Saiyam Pathak

Head of Developer Relations, vCluster
Saiyam is working as Head of DevRel at vCluster. He is the founder of Kubesimplify, focusing on simplifying cloud-native & AI infrastructure. He is Kubecon Co-chair and has worked on many facets of Kubernetes, including machine learning platforms, scaling, multi-cloud, & managed Kubernetes... Read More →
avatar for Hrittik Roy

Hrittik Roy

TPME, vCluster
Hrittik is a Platform Advocate at Loft Labs and a CNCF Ambassador, with expertise in cloud native technologies and open source communities. He has contributed extensively to developer advocacy, technical writing, and community engagement. Hrittik has been a featured speaker at events... Read More →
Tuesday June 9, 2026 6:05pm - 6:30pm IST
Convention Hall
  Building with MCP
 
Wednesday, June 10
 

9:30am IST

Keynotes To Be Announced
Wednesday June 10, 2026 9:30am - 10:25am IST

Wednesday June 10, 2026 9:30am - 10:25am IST
Convention Hall

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
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
avatar for Hariskumar Panakkal

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 →
Wednesday June 10, 2026 11:00am - 11:25am IST
Convention Hall
  Building with MCP

11:25am IST

Building Interactive Tools With MCP Elicitation - Ashwin Hariharan, Redis
Wednesday June 10, 2026 11:25am - 11:50am 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
avatar for Ashwin Hariharan

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 →
Wednesday June 10, 2026 11:25am - 11:50am IST
Convention Hall
  Building with MCP

11:50am IST

Running MCP Fully Local: Private, Offline-Capable Agents With Ollama and Open Models - Harish Kotra, Forge Alumnus
Wednesday June 10, 2026 11:50am - 12:15pm IST
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
avatar for Harish Kotra

Harish Kotra

Fractional CTO, Forge Alumnus
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 →
Wednesday June 10, 2026 11:50am - 12:15pm IST
Convention Hall
  Building with MCP
  • Audience Experience Level Any

12:15pm IST

One MCP Server, Five Languages, Zero Containers - Bharath Nallapeta, Mirantis Inc.
Wednesday June 10, 2026 12:15pm - 12:40pm IST
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.
Wednesday June 10, 2026 12:15pm - 12:40pm IST
Convention Hall
  Building with MCP

2:15pm IST

Keynotes To Be Announced
Wednesday June 10, 2026 2:15pm - 3:10pm IST

Wednesday June 10, 2026 2:15pm - 3:10pm IST
Convention Hall

3:20pm 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 3:20pm - 3:45pm IST
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
avatar for Jyoti Bisht

Jyoti Bisht

Senior DevRel Engineer, Harness
Jyoti Bisht is a Senior Developer Relations Engineer specializing in Cloud Cost Management and FinOps. She focuses on improving developer experience through platform design, internal tooling, and community engagement. She has also spoken at DevRelCon on gamifying documentation to... Read More →
avatar for Animesh Pathak

Animesh Pathak

DevRel Engineer, Harness
Animesh Pathak is a Developer Relations Engineer with a strong focus on Database DevOps, APIs, testing, and open-source innovation. Currently at Harness, he plays a key role in building and evangelizing scalable DBDevOps workflows, bridging the gap between developers and data teams... Read More →
Wednesday June 10, 2026 3:20pm - 3:45pm IST
Convention Hall
  Building with MCP

3:45pm IST

The Invincible MCP Server: Building Crash-Proof AI Tools With Durable Execution - Shubham Londhe, Temporal
Wednesday June 10, 2026 3:45pm - 4:10pm IST
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
avatar for Shubham Londhe

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 3:45pm - 4:10pm IST
Convention Hall
  Building with MCP

4:10pm IST

Building Rich AI-Native UI for Agentic Interactions Using MCP Apps - Ashita Prasad, AWS
Wednesday June 10, 2026 4:10pm - 4:35pm 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 →
Wednesday June 10, 2026 4:10pm - 4:35pm IST
Convention Hall
  Building with MCP

5:15pm IST

The MCP Has No Clothes: What Most Benchmarks Miss About Real MCP Servers - Arnav Balyan, Concierge AI
Wednesday June 10, 2026 5:15pm - 5:40pm IST
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
avatar for Arnav Balyan

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 5:15pm - 5:40pm IST
Convention Hall
  Building with MCP

5:40pm IST

Managing Token Usage in MCP Servers Using Code Mode - Bhumika Satpathy, Google
Wednesday June 10, 2026 5:40pm - 6:05pm 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
avatar for Bhumika Satpathy

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 5:40pm - 6:05pm IST
Convention Hall
  Building with MCP

6:05pm 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 6:05pm - 6:30pm 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
avatar for Mohit Jichkar

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 →
avatar for Para Hitesh

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 →
Wednesday June 10, 2026 6:05pm - 6:30pm IST
Convention Hall
  Building with MCP
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