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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.
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Tuesday, June 9
 

8:00am IST

Zen Zone
Tuesday June 9, 2026 8:00am - 7:00pm IST
Tulip

Tuesday June 9, 2026 8:00am - 7:00pm IST
Tulip

8:00am IST

Registration & Badge Pick-Up
Tuesday June 9, 2026 8:00am - 7:00pm IST
Convention Hall Main Entry

Tuesday June 9, 2026 8:00am - 7:00pm IST
Convention Hall Main Entry
  Registration

8:00am IST

Solutions Showcase
Tuesday June 9, 2026 8:00am - 7:50pm IST
Convention Hall Foyer

Tuesday June 9, 2026 8:00am - 7:50pm IST
Convention Hall Foyer
  Exhibits

9:30am IST

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

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

10:20am IST

Morning Break
Tuesday June 9, 2026 10:20am - 10:55am IST
Convention Hall Foyer

Tuesday June 9, 2026 10:20am - 10:55am IST
Convention Hall Foyer
  Breaks + Meals + Special Events

10:55am IST

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

10:55am IST

MCP in Production: OAuth, Session Isolation, and Audit Trails for Remote Servers - Rajan Sharma, Ispace INC
Tuesday June 9, 2026 10:55am - 11:20am IST
Scarlet 2&3
MCP demos are easy. Production MCP is not.

Once a remote MCP server touches real data or privileged actions, a successful tool call is not enough. Teams need OAuth 2.1 done correctly, least-privilege scopes, protected resource metadata, audience-bound tokens, secure session handling, gateway-aware controls, and audit trails that explain who requested what and what the server actually did.

This session turns MCP’s security guidance into a practical production blueprint. I’ll walk through how to secure remote MCP servers end to end: when authorization is required, how to avoid token passthrough and over-broad scopes, where session isolation fails, what proxies and gateways must enforce, and what to log for debugging, compliance, and incident response.

Attendees will leave with a clear mental model, a reference architecture, and a concrete checklist for operating MCP clients, servers, and intermediaries safely in production.
Speakers
avatar for Rajan Sharma

Rajan Sharma

Sr Principal Architect, ISpace inc
Rajan Sharma is a Principal Architect at iSpace specializing in cloud architecture, AI/ML, serverless, and enterprise security. He builds scalable, resilient enterprise platforms and works across AI search, observability, and production systems. He is an AWS Security Specialty holder... Read More →
Tuesday June 9, 2026 10:55am - 11:20am IST
Scarlet 2&3
  Security Identity + Trust
  • Audience Experience Level Any

10:55am IST

Workshop: From One Agent To a Fleet: Distributed Multi-Agent Workflows With MCP - Mansi Rathod, Apra Labs Pvt Ltd & Yashraj Singh, Apra Labs
Tuesday June 9, 2026 10:55am - 11:55am IST
Scarlet 1
**Space Limited - First Come, First Served.  Please bring a fully charged laptop to the workshop**

A single coding agent is useful. Real engineering work spans multiple machines and repos, and coordination breaks the moment two agents cooperate. What does it take to build an MCP server that manages a fleet lifecycle from one conversation and enforces quality on output?

This workshop uses apra-fleet (Apache 2.0) as a worked example of pushing MCP into distributed agent coordination, with tool schemas encoding a doer-reviewer pattern and review gates.

Part 1, Server architecture: Transport selection (stdio vs HTTP) for long-running fleets, a strategy pattern abstracting SSH and local execution behind one tool surface, provider adapters for Claude, Gemini, and Codex, and git-backed session state for checkpointing.

Part 2, Fleet in action: A live sprint. Fleet registration, credential provisioning, task decomposition, doer-reviewer assignment, and parallel execution through review gates, via MCP tool calls.

Part 3, Failure modes: Agent crashes, SSH drops, reviewer rejections. Real failures triggered on stage, recovered from exact breakpoints using git state.

You'll leave with concrete patterns for building MCP servers that coordinate distributed agents, not just expose tools.
Speakers
avatar for Mansi Rathod

Mansi Rathod

Senior Softwate Engineer, Apra Labs Pvt Ltd
Mansi Rathod is a Senior Software Engineer at Apra Labs with 5+ years of experience building production ML pipelines, hosting models, and shipping AI features in client software. Her work spans model deployment, infrastructure, and integration, currently focused on agentic AI systems... Read More →
avatar for Yashraj Singh

Yashraj Singh

Sr Software Engineer, Apra Labs
Yashraj is a Senior Software Engineer with 5 years of experience building scalable, high-performance systems and intelligent software platforms. He specializes in MCP and enjoys creating ecosystems where AI agents, tools, and infrastructure work together seamlessly.Passionate about... Read More →
Tuesday June 9, 2026 10:55am - 11:55am IST
Scarlet 1
  Agent Architecture + Orchestration

11:20am IST

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

11:20am IST

From Alert To Revert: One MCP 500+ Tools for Production Triage and Real-world DevOps - Avinash Kumar Lodhi, Coursehero
Tuesday June 9, 2026 11:20am - 11:45am IST
Scarlet 2&3
What happens when your on-call agent can read Datadog metrics, tail logs in groundcover, pull pod state from Kubernetes, and grep GitLab for the commit that broke prod, all in one conversation? At Learneo we built one MCP endpoint that does that across 11 upstream servers, 518 indexed tools, and can manage multiple AWS accounts credentials. It changed how we triage incidents.
I'll walk a synthetic incident end to end, with redacted screenshots from real ones, showing the agent go from alert to MR to revert.

Key Takeaways:

- Context: meta-tools and BM25 search keep the agent at about 1.5k tokens, not 500 schemas, and it pulls what it needs on demand
- Routing: a company overview shipped as MCP instructions on connect points the agent at the right cluster and Jira project before it picks a tool
- Memory: an agent-maintained company wiki for org structure, data models, and playbooks. The agent reads it and writes back what it learns
- Security: centralized credentials and a write denylist so the agent can read everything without breaking anything

Attendees will leave understanding both the value and the architecture for turning MCP into production-grade agent infrastructure.
Speakers
avatar for Avinash Kumar Lodhi

Avinash Kumar Lodhi

Staff Software Engineer - Devops, CourseHero
Avinash Kumar Lodhi is a Staff DevOps Engineer on the Course Hero Platform team. His job is to automate and manage things on a large scale. He started as a tester at Teradata ten years ago, then moved to DevOps. He worked at Sprinklr and then at Meesho, moving 500+ microservices from... Read More →
Tuesday June 9, 2026 11:20am - 11:45am IST
Scarlet 2&3
  Enterprise Adoption + Integration

11:45am 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 11:45am - 12:10pm IST
Scarlet 2&3
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
avatar for Nethra Khandige

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 →
avatar for Stuti Sinha

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 →
avatar for Reeva Nanda

Reeva Nanda

Software Engineer, IBM India
Reeva Nanda is an AI and ML enthusiast 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, she holds a focused... Read More →
avatar for Pradipta Ghosh

Pradipta Ghosh

AI Software Architect, IBM
avatar for Vivek Mankar

Vivek Mankar

Staff AI Engineer, IBM LABS ( ISDL )
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 →
avatar for Anto Ajay Raj John

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 →
Tuesday June 9, 2026 11:45am - 12:10pm IST
Scarlet 2&3
  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
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
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

Designing a Control Plane for Agentic Systems Using MCP - Malepati Bala Siva Sai Akhil, Couchbase
Tuesday June 9, 2026 12:10pm - 12:35pm IST
Scarlet 2&3
As MCP-based systems grow in complexity, standardizing tool interaction alone is not enough to ensure reliable execution.

This talk introduces a control-plane perspective for MCP-based systems, grounded in distributed systems principles such as scheduling, retries, idempotency, and fault isolation. Coordinating multi-step workflows across MCP servers introduces challenges such as partial failures, inconsistent state, and retry behavior that can escalate under load.

The focus is on how a control plane actively manages execution, including deciding when and how tool calls are made, handling failures dynamically, and coordinating workflows across multiple services. It also examines how centralized control improves reliability and consistency in complex MCP-based systems.

Attendees will gain concrete mental models for building scalable and reliable MCP-based systems.
Speakers
avatar for Malepati Bala Siva Sai Akhil

Malepati Bala Siva Sai Akhil

Principal Software Engineer, Couchbase
Principal Software Engineer at Couchbase with 10+ years building distributed systems, AI infrastructure and cloud-native platforms across Intel, VMware, and Huawei. IEEE Computing Top 30 (2024) and Intel Distinguished Inventor Award recipient for work in security, distributed systems... Read More →
Tuesday June 9, 2026 12:10pm - 12:35pm IST
Scarlet 2&3
  Agent Architecture + Orchestration

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
Convention Hall
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

12:35pm IST

Attendee Lunch
Tuesday June 9, 2026 12:35pm - 2:05pm IST
Convention Hall Foyer

Tuesday June 9, 2026 12:35pm - 2:05pm IST
Convention Hall Foyer
  Breaks + Meals + Special Events

2:15pm IST

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

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

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
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
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

3:20pm IST

Dead Runbooks, Dangerous Agents, and the Security Model That Saved Us - Koti Vellanki, TransUnion
Tuesday June 9, 2026 3:20pm - 3:45pm IST
Scarlet 2&3
We had 47 runbooks in Confluence. During incidents nobody used them. So I converted them into MCP server tools where an agent picks the right steps based on what it sees in the cluster.
This was working fine until two things went wrong.
One, the MCP server had the same service account as our CI pipeline. Too many permissions. Agent went and listed every secret in the namespace. It wasn't doing anything wrong, just had access it should not have. That's when I understood MCP has no security story for infra tools.
Two, at 3 AM the agent connected two unrelated alerts, restarted the wrong deployment, and a small incident became bigger.
I fixed both. Built OPA policy gates that check every tool call before execution. RBAC is now per tool, not per server. Tokens last five minutes and expire after one action. After the 3 AM incident I added blast-radius checks and human approval for destructive operations.
In the demo I walk through an agent diagnosing a pod failure, clearing policy, running with a scoped token, and logging an audit trail. Then it tries something it should not and gets blocked.
This talk is about what it actually takes to give an agent kubectl access safely.
Speakers
avatar for Koti Vellanki

Koti Vellanki

DevOps Engineer, TransUnion
Senior DevOps Engineer based in Bangalore with over a decade of experience in platform engineering and cloud infrastructure. I work mostly with Kubernetes, observability systems, and CI/CD at scale. Currently building open-source MCP tools that connect AI agents to production infrastructure... Read More →
Tuesday June 9, 2026 3:20pm - 3:45pm IST
Scarlet 2&3
  Security Identity + Trust

3:20pm IST

Workshop: Hands-on Lab: Bridging OpenClaw and MCP for Autonomous Cross-Cloud Operations - Paras Mamgain & Anmol Krishan Sachdeva, Google; Indumathy Thisgarajan, Wells Fargo
Tuesday June 9, 2026 3:20pm - 4:20pm IST
Scarlet 1
**Space Limited - First Come, First Served.  Please bring a fully charged laptop to the workshop**

Scaling autonomous agents across multi-cloud infrastructure is currently a mess of proprietary SDKs and brittle "glue code." This workshop provides a technical build-path to standardize operations using orchestration frameworks (like OpenClaw) and the Model Context Protocol (MCP) as a provider-agnostic abstraction layer. We will move beyond theoretical planning to build a functional "Agentic SRE" control plane that decouples reasoning from execution across AWS and GCP.

Implementation Workflow:

- Initialization: Bootstrapping the pre-configured DevContainer and linking the orchestration engine to the local MCP server environment to establish the communication backbone.

- Resource Abstraction: Developing stateless MCP Resources and Tools to discover VPC and compute metadata across disparate cloud providers, replacing $O(N)$ proprietary dependencies with an $O(1)$ protocol interface.

- Identity Implementation: Configuring Workload Identity Federation (OIDC) to securely propagate agent context.

- Guardrail Integration: Coding a protocol-level interceptor

- Closing & Validation: Running a live "Drift-to-Remediation" loop where the agent identifies a security anomaly.
Speakers
avatar for Paras Mamgain

Paras Mamgain

Technical Lead Manager, Google
Paras is a Technical Lead Manager at Google, where he leads a team dedicated to simplifying complex cloud solutions. Drawing on his strong foundation in cloud solutions and backend development, he guides his team in architecting scalable and resilient infrastructure. Paras is also... Read More →
avatar for Indumathy Thiagarajan

Indumathy Thiagarajan

Technology Enthusiast, Wells Fargo
Software Engineer with more than a decade of experience on multiple technology stacks and domains
avatar for Anmol Krishan Sachdeva

Anmol Krishan Sachdeva

Senior Hybrid Cloud Architect, Google
Anmol (a.k.a. "greatdevaks") is a seasoned International Tech Speaker (delivered 80+ talks globally), a Distinguished Guest Lecturer, an Adjunct Professor, a conference organizer, and has published several notable papers. He works at Google and focuses on Emerging Technologie... Read More →
Tuesday June 9, 2026 3:20pm - 4:20pm IST
Scarlet 1
  MCP Protocol in Depth

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
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
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

3:45pm IST

InstaMCP: Instant MCP-ification of Enterprise APIs - Rupal Sharma & Ujjal Sharma, Nutanix
Tuesday June 9, 2026 3:45pm - 4:10pm IST
Scarlet 2&3
This session introduces InstaMCP, a common platform designed to instantly "MCP-ify" enterprise APIs and eliminate the need for redundant "glue code" currently required to connect LLMs to internal products. This solution addresses siloed AI integrations and maintenance bottlenecks within large SaaS ecosystems. InstaMCP automatically ingests Swagger/OpenAPI specifications to generate fully deployable, secure Model Context Protocol (MCP) servers in minutes. It moves beyond simple 1:1 API mapping by providing a visual, low-code interface for developers to stitch multiple APIs into complex, multi-step workflow tools for seamless agent execution. Attendees will explore the platform's architecture, automated MCP server generation, and how it addresses the critical "security blindspot" by accommodating token-exchange and other guardrails.
Speakers
avatar for Rupal Sharma

Rupal Sharma

Staff Engineer, Nutanix
A software engineer with more than a decade of experience architecting high-scale platforms across Fintech, Telecom, and Identity. Specialist in major platform modernization and high-concurrency systems.
avatar for Ujjal Sharma

Ujjal Sharma

Member of Technical Staff, Nutanix
Building enterprise grade AI agents and MCP servers
Tuesday June 9, 2026 3:45pm - 4:10pm IST
Scarlet 2&3
  Enterprise Adoption + Integration

4:10pm IST

Cloud-engineer-mcp: Implementing the Gateway Pattern for Multi-Cloud MCP Orchestration - Aniruddha Biyani, Prophecy
Tuesday June 9, 2026 4:10pm - 4:35pm IST
Scarlet 2&3
As the Model Context Protocol (MCP) matures, enterprises face a "Connectivity Gap": the $M \times N$ integration problem has shifted from a development crisis to an operational one characterized by context window bloat and fragmented identity management. While the protocol simplifies 1:1 connections, orchestrating a fleet of agents across AWS, GCP, and Azure requires a centralized intermediary to govern tool discovery and secure credential propagation. This session presents cloud-engineer-mcp, an open-source implementation of the MCP Gateway Pattern. We will dive into the technical challenges of aggregating official CSP-specific servers—AWS, Azure, and GCP—behind a single interface while maintaining high performance. The talk focuses on two core architectural innovations: Embedding-based Semantic Similarity (using local models like all-MiniLM-L6-v2) to surface only the most relevant top-K tools for a conversation, and Multi-Transport Support that allows the gateway to bridge local stdio environments (like Cursor or VS Code) with remote Streamable HTTP deployments.
Speakers
avatar for Aniruddha Biyani

Aniruddha Biyani

Lead Security Engineer, Prophecy
aniruddha “AB” biyani is the Head of Security and Compliance at Prophecy. With a career built on scaling cloud security for high-growth startups and cybersecurity vendors. He is a long-standing volunteer and organizer for the DEF CON Cloud Village.

He recently presented at Black Hat Europe Arsenal 2024, Black Hat Asia Arsenal 2024, and SANS CloudSecNext 2023. He is also the creator and maintainer of open-source tools like findmytakeover, cloud-auth and cloud-engineer-mcp... Read More →
Tuesday June 9, 2026 4:10pm - 4:35pm IST
Scarlet 2&3
  Agent Architecture + Orchestration

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
Convention Hall
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

4:40pm IST

Afternoon Break
Tuesday June 9, 2026 4:40pm - 5:10pm IST
Convention Hall Foyer

Tuesday June 9, 2026 4:40pm - 5:10pm IST
Convention Hall Foyer
  Breaks + Meals + Special Events

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
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
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

5:15pm IST

MCPeek Into Your Server's Secrets - Akash Sathish, Sahaj Software
Tuesday June 9, 2026 5:15pm - 5:40pm IST
Scarlet 2&3
Most "MCP security scanners" are wrappers around npm audit and regex keyword rules. A November 2025 research survey showed 0% detection on TypeScript servers because the underlying tools never parse the AST and two-thirds of public MCP servers ship in TypeScript.

This talk walks through building an AST pipeline using ts-morph that catches what keyword rules miss: path traversal through fs wrapper functions, command injection even when the command is assembled across intermediate variables, SSRF through aliased URL parameters, and tool handlers registered without any schema validation. The key technical contribution is multi-pass taint tracking following a user parameter through variable aliases before reaching a dangerous sink, which eliminates the false-negative class that makes regex rules useless. Audited against more than 50 MCP servers.

Attendees leave with:
(1) the open-source MCPeek ruleset to drop into CI,
(2) a decision framework for choosing SAST depth per vulnerability class,
(3) the taint-tracking pattern for building MCP-aware rules in any language.

Link to MCPeek: https://github.com/iamakash-06/MCPeek
NPM Package: https://www.npmjs.com/package/mcpeek
Speakers
avatar for Akash Sathish

Akash Sathish

Solution Consultant, Sahaj Software
I'm a Solution Consultant at Sahaj Software in Chennai. I've been neck-deep in MCP, AI-Assisted Development, and agentic architectures since before they had proper names. I've spoken at GitTogether 2025, The Fifth Elephant 2025, and six other conferences across AI-assisted development... Read More →
Tuesday June 9, 2026 5:15pm - 5:40pm IST
Scarlet 2&3
  Security Identity + Trust

5:15pm IST

Workshop: Enabling MCP at Enterprise Scale: Navigating Authentication and Governance Challenges - Shannon Williams & Chris Urwin, Obot AI
Tuesday June 9, 2026 5:15pm - 6:15pm IST
Scarlet 1
**Space Limited - First Come, First Served.  Please bring a fully charged laptop to the workshop**

Enterprise adoption of the Model Context Protocol is accelerating — but the path from "MCP works on my laptop" to "MCP running securely across our organization" is windy and challenging.
Building MCP servers isn't particularly hard. The real challenges are OAuth, identity sprawl, and the governance requirements your security team will eventually land on your desk.
MCP servers should focus on tools, resources, and prompts — not rebuilding OAuth infrastructure from scratch every time. A dedicated identity and governance control plane absorbs that complexity once, rather than forcing every server to solve it independently.
In this workshop, we will:
1. Demonstrate how to integrated MCP servers with identity management tools
2. Show how to tailor MCP authorization by groups and policies.
3. Work through real governance scenarios by filtering MCP calls for PII or code injection.
4. Demonstrate how MCP traffic can be captured via an MCP gateway and used for compliance, monitoring and observability.

You'll leave with a clear picture of the architectural decisions ahead of you, and a better sense of what your security team is going to ask for before they sign off on scaling MCP adoption.
Speakers
avatar for Shannon Williams

Shannon Williams

President, Obot AI
I am the President and co-founder of Obot AI, and have been building open source software for the last 20 years. Prior to starting Obot, I co-founded Cloud.com (creator of CloudStack) and Rancher Labs (creator of Rancher, k3s, Longhorn, etc). I was a board member of the CNCF for 4... Read More →
avatar for Chris Urwin

Chris Urwin

VP of Field Engineering, Obot AI
Chris Urwin is VP of Field Engineering at Obot AI and a veteran engineering leader. With deep hands-on experience in cloud‑native platforms, Kubernetes, containers, CI/CD, and developer tooling, he builds and scales global technical teams. Chris bridges product, engineering, and... Read More →
Tuesday June 9, 2026 5:15pm - 6:15pm IST
Scarlet 1
  Enterprise Adoption + Integration

5:40pm IST

MCP Servers on Kubernetes: Deployment Patterns, Scaling, and What Breaks - Kunal Das, Cast Ai
Tuesday June 9, 2026 5:40pm - 6:05pm IST
Scarlet 2&3
Most MCP talks focus on the protocol or the AI side. This one is about the infrastructure underneath.
I run MCP servers on Kubernetes, and I've hit enough weird failure modes to have opinions about it. This talk covers how to deploy MCP servers as containerized workloads: health checks that actually make sense for long-lived agent connections, resource limits that don't starve your servers mid-conversation, and what happens when an agent decides to call 200 tools in a loop.
I'll walk through deployment patterns I've tested. Sidecars vs standalone pods, service mesh routing for multi-tenant setups, and HPA configurations that don't flap every time an agent goes quiet. I'll also cover the stuff that broke: connection drops during rolling updates, memory leaks from unbounded context, and the time a misconfigured liveness probe took down every MCP server in the cluster.
Expect a live demo on a real cluster, real YAML, and zero slides about what MCP stands for.
Speakers
avatar for Kunal Das

Kunal Das

Developer Advocate, Cast Ai
Kunal Das is a Developer Advocate at CAST AI, based in Bangalore. He works on cloud cost optimization and spends most of his time figuring out why Kubernetes clusters waste so much money. He organizes CNCF community chapters in Mumbai and Kolkata, runs the HashiCorp User Group Bangalore... Read More →
Tuesday June 9, 2026 5:40pm - 6:05pm IST
Scarlet 2&3
  Ecosystem Registries + Platform Infrastructure

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
Convention Hall
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
  Enterprise Adoption + Integration

6:05pm IST

MCP + Kubernetes: Building a Self-Healing AI Platform (Not Just Pipelines) - Raghu Reddy, Calix & Esakki Raj E, Cisco
Tuesday June 9, 2026 6:05pm - 6:30pm IST
Scarlet 2&3
Most teams treat MCP as a pipeline, and that is the problem. Pipelines fail silently. They have no concept of desired state, no reconciliation loop, and no recovery path when a model times out or a tool call returns garbage. You are essentially writing bash scripts with an LLM in the middle.

Kubernetes already solved this. The operator pattern gives you level-triggered reconciliation, retry logic with backoff, and declarative desired state baked into the control plane. Combine that with MCP's tool abstraction and you stop writing pipelines and start building platforms where AI workflows are first-class resources that the cluster actively keeps healthy. GitOps via ArgoCD means your model routing, fallback configurations, and tool permissions are version-controlled, auditable, and promotable across environments like any other workload.

We will cover: modeling MCP workflows as Kubernetes custom resources, building operators that reconcile AI workflow state including fallback model selection and tool availability, wiring ArgoCD to manage MCP server deployments and configuration drift, and the observability hooks you need to actually trust that self-healing fired correctly.
Speakers
avatar for Esakki Raj E

Esakki Raj E

Senior AIOps Engineer, Cisco
Experienced Site Reliability Engineer (SRE) and MLOps specialist with over 9+ years of practical experience in designing, implementing, and managing cloud-based infrastructure and services. Proven track record in architecting and scaling large-scale AI/ML infrastructure on Kubernetes... Read More →
avatar for Raghu Reddy

Raghu Reddy

Staff Platform Engineer (Security), Calix Inc
Raghu is a Staff Platform Engineer (Security) at Calix Inc. , where he secures Kubernetes infrastructure powering AI and MLOps workloads across multiple clusters.
With over 10 years in Platform Engineering and Security. Applying supply chain security, runtime hardening, and policy... Read More →
Tuesday June 9, 2026 6:05pm - 6:30pm IST
Scarlet 2&3
  Agent Architecture + Orchestration

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
Convention Hall
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

6:25pm IST

Attendee Reception
Tuesday June 9, 2026 6:25pm - 7:50pm IST
Convention Hall Foyer

Tuesday June 9, 2026 6:25pm - 7:50pm IST
Convention Hall Foyer
  Breaks + Meals + Special Events
 
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