Loading…
June 14-15, 2026
Mumbai, India
View More Details & Registration

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for MCP Dev Summit Mumbai to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration..

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Venue: Lotus 2 clear filter
Sunday, June 14
 

10:00am IST

Workshop: Enabling MCP at Enterprise Scale: Navigating Authentication and Governance Challenges - Shannon Williams & Chris Urwin, Obot AI
Sunday June 14, 2026 10:00am - 11:00am IST
**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 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 →
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 →
Sunday June 14, 2026 10:00am - 11:00am IST
Lotus 2

11:40am IST

Workshop: Beyond RAG: Building a Context Engine for Multi-Agent Systems Using MCP - Saradindu Sengupta, Lytx Inc
Sunday June 14, 2026 11:40am - 12:40pm IST
**Space Limited - First Come, First Served.  Please bring a fully charged laptop to the workshop**

As agentic systems evolve from single-step tasks to orchestrated workflows, maintaining structured, evolving context becomes a core engineering challenge. While Retrieval-Augmented Generation (RAG) improves access to information, most implementations treat the knowledge source as a static, read-only repository, making it difficult to capture relationships, causality, and decision history across sessions.

This hands-on workshop focuses on operationalising a context engine using MCP—showing how to build a system where agents can read, write, and reason over shared structured context.

Participants will work through a guided implementation to:

* Design a minimal context graph schema for a real-world workflow.
* Ingest and normalise data into a structured representation.
* Expose the context layer via MCP servers.
* Enable agents to query and update context through MCP tools.
* Persist reasoning state across sessions and agent boundaries.

By the end of the session, attendees will have built a working foundation for a context engine and understand how to evolve it into a shared context layer for multi-agent orchestration.
Speakers
avatar for Saradindu Sengupta

Saradindu Sengupta

ML Engineer, Lytx Inc., Lytx Inc
I am working at Lytx Inc. as an ML Engineer, where my primary area of work is building ML inference platforms focusing on video analytics and a visual language model. I have over 6 years of professional experience in building ML systems from the ground up since finishing my master's... Read More →
Sunday June 14, 2026 11:40am - 12:40pm IST
Lotus 2

3:20pm IST

The Illusion of Idempotency: Why MCP Actions Aren’t as Safe as You Think - Prerit Munjal, Groupon
Sunday June 14, 2026 3:20pm - 3:45pm IST
We design MCPs assuming idempotency, apply the same action twice nothing changes, reconcile repeatedly, and state is declarative.

But in reality, most MCP actions are only partially idempotent, because beneath the abstraction external systems mutate independently, side effects escape the control plane, ordering of operations matters, and “same input” doesn’t always mean “same result”. At scale, MCPs rely on many things like reconciliation loops, declarative APIs, retry-based execution.

We’ll unpack how MCPs unintentionally, violate idempotency through hidden side effects, depend on ordering guarantees that don’t exist, produce divergent states under retries, mask unsafe operations behind “safe” abstractions. This isn’t a talk about retries or Kubernetes patterns. There are no controller frameworks, just a deeper examination of why MCPs aren’t as safe as we assume, and how to design them with fewer hidden risks.

Because the most dangerous systems aren’t the ones that fail.
They’re the ones you believe are safe to retry.
Speakers
avatar for Prerit Munjal

Prerit Munjal

Senior Technical Product Manager, Groupon
Prerit is a Cloud-Native Platform Leader with extensive experience designing and scaling secure, resilient cloud infrastructures. As the former CTO of KubeCloud, he built no-code solutions bridging Cloud, DevOps, and SRE, leading the company to a successful acquisition. Currently... Read More →
Sunday June 14, 2026 3:20pm - 3:45pm IST
Lotus 2
  MCP Protocol in Depth
  • Audience Experience Level Any

3:45pm IST

Agentless Agents: Replacing Sidecar Observability With eBPF + MCP Tool Chains - Harini Anand, IBM
Sunday June 14, 2026 3:45pm - 4:10pm IST
The dominant observability pattern for AI agents today is layered agents: sidecars, daemon sets, exporters. Each adds blast radius.

This talk proposes flipping the model, using eBPF for zero-agent kernel telemetry, exposing it via MCP, and letting the LLM itself do the orchestration across tool calls.

I'll demo a concrete multi-tool MCP interaction: an LLM receives "why is this service slow?", autonomously calls get_recent_process_execs, correlates with get_active_connections, and follows up with get_high_syscall_latency, forming a causal chain from kernel truth to natural language diagnosis. No pre-scripted runbook. No human in the loop.

The talk goes deep on failure modes specific to this architecture: tool-call loops triggered by ambiguous latency signals, hallucination risk when eBPF data is sparse, and retry/fallback strategies when kernel probes detach under load.

We'll also cover how to design MCP tool responses that constrain LLM reasoning toward actionable conclusions, not just open-ended exploration.

Attendees leave understanding how to architect kernel-aware agentic systems that are genuinely production-safe.
Speakers
avatar for Harini Anand

Harini Anand

SDE in Data & AI, IBM
SDE at IBM Data & AI, working on IBM watsonx™. Software Engineering Researcher at UIUC. Computational Cognition Researcher at Georgia Institute of Technology. Biomedical XAI Researcher at Dartmouth College.
Formerly at Niramai & IIT Hyderabad, researching ML for breast cancer and gene regulatory networks. Built cognitive tools for dementia prevention as a student entrepreneur. Google KaggleX Mentee, AWS Scholar, Harvard WE Tech Fellow, Oxford & MIT Summer School alumna and a Stanford... Read More →
Sunday June 14, 2026 3:45pm - 4:10pm IST
Lotus 2

4:10pm IST

The Handoff Hallucination: Why Agents Skip Steps and How To Catch It - Ujjwal Kumar Singh, Skeps
Sunday June 14, 2026 4:10pm - 4:35pm IST
In multi-step agent workflows, correctness isn't just about what the system returns, it's about how it got there.
An agent can claim "approval verified" without actually calling the approval service. The response looks valid, logs appear complete, and schema checks pass yet a critical step was skipped. This is process hallucination.
In financial and compliance workflows, skipping a required step isn't a bug, it's a violation.
Current testing approaches focus on outputs, not execution paths. As a result, these failures remain invisible until they cause real damage.
This talk introduces a Step Verification Layer, a deterministic check that validates whether required actions were actually executed, not just claimed.
By defining allowed sequences of actions and verifying execution against them, teams can detect skipped steps, invalid transitions, and silent process failures before they reach production.
A valid execution trace is not the same as a correct one. This talk is about verifying the difference.
Speakers
avatar for Ujjwal Kumar Singh

Ujjwal Kumar Singh

Software Development Engineer in Test, Skeps
Ujjwal Kumar Singh is a Software Tester who focuses on exploring software quality beyond traditional test cases and automation. His work centers on understanding how testing practices interact with engineering workflows, contributor collaboration, and project governance. He is particularly... Read More →
Sunday June 14, 2026 4:10pm - 4:35pm IST
Lotus 2

5:15pm IST

Scaling AI: gRPC as Transport Backbone for Enterprise MCP - Pawan Bhardwaj, Google
Sunday June 14, 2026 5:15pm - 5:40pm IST
The Model Context Protocol (MCP) is rapidly becoming the standard for connecting LLMs to data sources and tools. However, as organizations move from local experimentation to global production, the default JSON-RPC over HTTP transport hits a "scale ceiling."

gRPC is already establish as a go to library for transport for enterprise services as it provide high throughput and better performance using protobuf and HTTP/2. gRPC has Service Mesh Integration, Observability, Enterprise security and many more features, which can be leveraged by the MCP Server and Clients.

This session show case a demo of using MCP with gRPC transport.
Speakers
avatar for Pawan Bhardwaj

Pawan Bhardwaj

Senior Software Engineer, Google
As a senior software engineer specializing in gRPC within Google's open source team, my focus lies in enhancing the performance and usability of networking systems for applications. My previous experience includes working with Cumulus Linux and Cisco NxOS on network forwarding pl... Read More →
Sunday June 14, 2026 5:15pm - 5:40pm IST
Lotus 2
  MCP Protocol in Depth

5:40pm IST

Rethinking Agent–Database Access: A Secure Approach With MCP Toolbox - Shivay Lamba, Qualcomm & Anushka Saxena, Google
Sunday June 14, 2026 5:40pm - 6:05pm IST
Securely database connections in MCP based Agentic applications has become a critical challenge. Traditional approaches for connectivity introduce risks such as prompt injection, over-permissioned access, and lack of observability.

This talk introduces the Model Context Protocol (MCP) Toolbox for Databases, an open-source framework that standardizes how AI agents interact with data systems. By treating database access as a structured, reusable, and secure set of tools, developers can enable agents to perform meaningful operations while maintaining strict control over data exposure. Toolbox secures your agentic workflows for resources or tool executions
by acting as an OAuth 2.1 Resource Server that validates JWT Bearer tokens from your OIDC provider.

Through a real-world case study, we will demonstrate how to build an intelligent agent that combines semantic vector search with transactional workflows like inventory updates and cart management, all powered through a unified MCP configuration.

So join us to learn how MCP enables scalable, high-performance agentic architectures using efficient connection pooling, without compromising on security, observability, or control.
Speakers
avatar for Shivay Lamba

Shivay Lamba

Senior ML Engineer, Qualcomm
Shivay Lamba is a software developer specializing in DevOps, Machine Learning and Full Stack Development.

He is an Open Source Enthusiast and has been part of various programs like Google Code In and Google Summer of Code as a Mentor and is currently a MLH Fellow. He has also worked at organizations like Amazon, EY, Genpact. He is a Tensorflow.JS SIG member and community lead from In... Read More →
avatar for Anushka Saxena

Anushka Saxena

Software Application Development Apprentice, Google
I'm a passionate advocate for cloud-native technologies and an active contributor to the CNCF community. Currently I'm working as a Software Application Development Appprentice at Google (GCP Databases, MCP Toolbox) and I'm a LFX mentee in the CloudNativePG project. I was a participant... Read More →
Sunday June 14, 2026 5:40pm - 6:05pm IST
Lotus 2

6:05pm IST

The Coordination Tax: Why Your MCP Multi-agent System Degrades at Scale, and How To Fix It - Rudra Kushwah & Jay Shukla, Indian Institute of Information Technology, Nagpur; Shivaprasad Gowda, Indian Institute of Technology Roorkee; Krishna Padia, Shri Vil
Sunday June 14, 2026 6:05pm - 6:30pm IST
Multi-agent MCP systems work beautifully in staging. They fail in production. We learned this the hard way: three agents, nine tools, accuracy that quietly degraded under real load, and a job that blew past its token budget before anyone noticed.

We weren't alone. Google DeepMind and MIT's December 2025 paper "Towards a Science of Scaling Agent Systems" measured up to 17× error amplification in naive multi-agent setups and found coordination yields negative returns past a saturation threshold. Separate work (MAFBench, 2025) shows framework design choices alone can cut planning accuracy by 30% and collapse coordination success from over 90% to under 30%. Most MCP deployments hit this wall and misdiagnose it as a model problem.

This talk walks through three failure modes - Infinite Loop, False Consensus, Silent Fallback with message traces, token costs, and detection times. We then introduce the "topology contract": a lightweight JSON schema embedded in MCP server metadata, compatible with the 2026 Server Cards roadmap. Additive to the spec, zero protocol changes.

Attendees leave with a reproducible benchmark suite and a schema they can adopt in an afternoon.
Speakers
avatar for Rudra Pratap Singh

Rudra Pratap Singh

AI Systems Developer, Indian Institute of Information Technology, Nagpur
Rudra Pratap Singh is a CSE (AI/ML) student at IIIT Nagpur and Research Intern at IIT Mandi, working on medical imaging with deep learning. Skilled in Python, TensorFlow, and GenAI, he has built impactful AI systems and led hackathons, mentoring 60+ students.
avatar for Shivaprasad Gowda

Shivaprasad Gowda

Research Intern, Indian Institute of Technology Roorkee
Research Intern at IIT Roorkee (Prof. Sparsh Mittal). Second-year undergrad at IIIT Nagpur. Independent research on Destructive Rank Collapse in deep networks. Built a financial documents GenAI solution at scale. Experience in LiDAR 3D perception, synthetic EEG generation, and multi-GPU... Read More →
avatar for Krishna Padia

Krishna Padia

BTech Student (Computer Engineering), Shri Vile Parle Kelavani Mandal's Shri Bhagubhai Mafatlal Polytechnic And College of Engineering
Krishna Padia is a Computer Engineering student with a strong interest in technology, problem-solving, and innovation. She enjoys exploring new ideas and applying logical thinking to real-world challenges. With a curious mindset and a drive to learn, she actively engages in activities... Read More →
avatar for Jay Shukla

Jay Shukla

AI System Developer, Indian Institute of Information Technology, Nagpur
Jay Shukla is a CSE (AI/ML) student at IIIT Nagpur and a Research Intern at SVNIT Surat, working on energy time forecasting using deep learning. He is skilled in Python, TensorFlow, and Generative AI, and is also exploring Reinforcement Learning, with experience in building AI models... Read More →
Sunday June 14, 2026 6:05pm - 6:30pm IST
Lotus 2
 
Monday, June 15
 

11:30am IST

Why Most MCP Tools Fail Silently, and How To Measure It - Om Shree, Shreesozo
Monday June 15, 2026 11:30am - 11:55am IST
Most MCP servers don't break because of bugs. They break because the tool descriptions are too vague for agents to reliably pick the right tool.
Two research papers put numbers to this. A SAIL Research study of 856 tools across 103 MCP servers found 97% have at least one quality defect, 56% don't clearly state what the tool does, 89% give no guidance on when not to use it. A second study of 10,831 servers found that well-written descriptions get selected 260% more often, and fixing them raises task success rates by roughly 6 points.
Working with the Glama founder, I helped develop the Tool Definition Quality Score (TDQS) - an open source framework that scores every MCP tool across six dimensions: Purpose Clarity, Usage Guidelines, Behavioral Transparency, Parameter Semantics, Conciseness, and Contextual Completeness. Each tool gets a 1–5 per dimension with specific feedback on what's missing and why it matters.
This talk covers how TDQS was built, what scoring thousands of real servers revealed, and how server authors can use it to ship tools agents actually invoke correctly. The framework is open source and already live across Glama-hosted servers.
Speakers
avatar for Om Shree

Om Shree

Founder, MCP Consultant & Content Strategist, Shreesozo
I'm the founder of Shreesozo, an AI content studio focused on MCP and agentic AI. I've written 100+ technical pieces for Glama.ai and Gentoro, covering everything from protocol internals to real-world agent deployments. I run MCP Weekly, published on YouTube (1.2K subscribers) and... Read More →
Monday June 15, 2026 11:30am - 11:55am IST
Lotus 2
  MCP Protocol in Depth

11:55am IST

Who Watches the MCP Servers? Building Observability for the MCP Layer - Koteswara Rao Vellanki, TransUnion
Monday June 15, 2026 11:55am - 12:20pm IST
I have nine MCP servers in production wrapping kubectl, Prometheus, Grafana, OpenSearch, and CI/CD. Three months in, one started silently dropping tool calls. Connection pool exhausted but health checks passing. Logs clean.
Agent did not raise any error. It stopped using that tool and started making up answers. For two weeks nobody caught it. Then one incident response went wrong because the agent was working with data it generated itself.
After that I realised we are building this whole MCP layer with zero visibility into whether it is healthy. Normal monitoring does not catch these failures.
So I built an observability platform for MCP servers. OpenTelemetry hooks that plug into any FastMCP server in two lines of code. Prometheus metrics built for MCP: tool call latency, error rates, connection pool usage. The important one is tool call frequency deviation. It tells you when an agent gradually stops using a tool. That is how you catch the worst failure: agent walking away from a broken server and hallucinating.
In the demo I degrade a server on stage. Normal monitoring will not catch it. Frequency alert fires in under two minutes.
Open-source, packaged as a Helm chart.
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 →
Monday June 15, 2026 11:55am - 12:20pm IST
Lotus 2

12:20pm IST

Beyond 1:1 Mapping: Designing MCP for Real Enterprise Systems - Naresh Waswani, Simpplr Inc. & Jyoti Notani, Persistent Systems Ltd
Monday June 15, 2026 12:20pm - 12:45pm IST
Many organizations exploring MCP already operate large microservice ecosystems. A common first instinct is to mirror that architecture directly—one microservice becomes one MCP server, and each API becomes a tool. While simple in theory, this often creates too many servers, overlapping tools, poor discoverability, and unnecessary operational complexity.

This session explores how to design MCP boundaries for real enterprise environments instead of copying existing service boundaries. I’ll walk through practical patterns for grouping capabilities, aggregating multiple services behind task-oriented tools, and exposing interfaces optimized for agents rather than internal architecture diagrams.

We’ll also cover how different agents can safely consume shared MCP services, along with key considerations such as ownership, versioning, permissions, observability, and scaling MCP across many teams.

A short demo will show how a well-designed MCP layer can simplify complex multi-service workflows.

If your organization already has dozens or hundreds of services, this session will help you adopt MCP intentionally - without repeating old patterns in a new protocol.
Speakers
avatar for Naresh Waswani

Naresh Waswani

Senior Architect, Simpplr Inc.
Hands-on architect specializing in resilient distributed systems, microservices, event-driven architecture, and cloud-native modernization. AWS User Group Nagpur Leader and 6+ year AWS Community Builder, active in speaking, mentoring, and community building. My recent focus is Generative... Read More →
avatar for Jyoti Notani

Jyoti Notani

Architect, Persistent Systems Ltd
Seasoned professional with experience on working with Microservices,Devops and SRE
Monday June 15, 2026 12:20pm - 12:45pm IST
Lotus 2

12:45pm IST

The Sticky Session Bottleneck: Why MCP Agent Orchestration Breaks When You Scale - Yuvraj Pradhan, MIT ADT University & Archana Kumari, MIT ADT University
Monday June 15, 2026 12:45pm - 1:10pm IST
When we tried to scale our multi-agent MCP system beyond a single node, the orchestrator broke immediately.

Each model running on a different machine means the orchestrator had to track which models it called, which responses arrived, and which were pending. The moment the orchestrator restarted, everything was gone. Models got called twice. Responses were lost. Consensus became inconsistent.

Turns out this is the sticky session problem. And the ecosystem is still figuring it out.

As SEP-1442 is moving MCP toward a stateless-by-default transport model. But most deployments still depend on session affinity. When you are orchestrating models across distributed nodes, that dependency breaks everything.

This talk covers what we learned designing around it:

- Why multi-agent MCP orchestration creates hidden session dependencies
- How to decouple consensus state from the orchestrator process using structured event logs
- Migration patterns that preserve workflow correctness without session affinity
- Stateless MCP is not just an infrastructure concern. It is what makes multi-agent consensus reliable at scale.
Speakers
avatar for Yuvraj Pradhan

Yuvraj Pradhan

AI Systems Engineer, MIT-ADT UNIVERSITY
Yuvraj Pradhan is an AI Systems Engineer specialising in cost-efficient GenAI and secure multi-agent architectures. He is the first author of research published in Springer Nature on architecting a 125M-parameter NanoLLM for STEM tasks that outperforms significantly larger models... Read More →
avatar for Archana Kumari

Archana Kumari

Ai Systems Developer, MIT ADT University
Archana Kumari is an AI Systems Developer building practical machine learning systems and edge AI applications. Her work spans LLMs, computer vision on embedded devices, and full-stack tooling with Python and Java. She has developed multi-agent reasoning frameworks and voice-assisted... Read More →
Monday June 15, 2026 12:45pm - 1:10pm IST
Lotus 2

3:50pm IST

Where MCP Ends and A2A Begins: and Why That Seam Is Breaking Your Agents - Arushi Garg, Adobe & MV Shiva, Google
Monday June 15, 2026 3:50pm - 4:15pm IST
Everyone's heard the AAIF framing: MCP handles agent-to-tool, A2A handles agent-to-agent. Clean in theory. In practice, every multi-agent system lives at the boundary of both, and that boundary has no standard.
Context gets dropped. Errors go silent. A state that survived an entire A2A task lifecycle vanishes the moment it crosses into an MCP tool call. Nobody is talking about this publicly.
This session replaces the "vertical vs horizontal" mental model with something more honest: a precise seam diagram showing what each protocol guarantees, what it doesn't, and what falls into the gap. We'll go deep on MCP's Tasks primitive (SEP-1686)- including its two admitted gaps: no retry semantics, no expiry policies. We'll map the real failure modes developers are hitting today, drawn from open GitHub issues across both protocol repos.
Then a live demo using Google's open-source A2A sample repo: no custom code. We'll run a real multi-agent task, cross the protocol boundary, sever the trace header, and watch the silent failure happen in real time.
You'll leave with a clear mental model, a three-point failure checklist, and a concrete picture of what the spec needs next.
Speakers
avatar for MV Shiva

MV Shiva

SWE, Google

avatar for Arushi Garg

Arushi Garg

SDE-2, Adobe
Arushi Garg is an AI Engineer and researcher focused on building intelligent, scalable, and autonomous AI systems. At Adobe, she works on AI-driven backend solutions and cloud-native architectures with expertise in Kubernetes, MCP-based systems, AI agents, and distributed AI workflows... Read More →
Monday June 15, 2026 3:50pm - 4:15pm IST
Lotus 2
  MCP Protocol in Depth
  • Audience Experience Level Any

4:15pm IST

100 Agents in 100 Days: Patterns and Anti-Patterns for MCP-Based Multi-Agent Systems - Harish Kotra, Forge Alumnus
Monday June 15, 2026 4:15pm - 4:40pm IST
Multi-agent systems on MCP are where most of the interesting architectural questions live: routing, state, retries, coordination, and what happens when any one of N tool calls misbehaves. Most talks on the topic are theoretical. This one is not.

Since early 2026 I've published one new AI agent every day at dailybuild.xyz. Many of them are multi-agent: price-war simulations, research pipelines, a local agent orchestration studio, a recursive research loop, human-in-the-loop travel planners, and a "swarm CFO" with policy-gated spend. Dozens of them plug into MCP servers.

In this session I'll pull out the ten orchestration patterns I now use by default when MCP is in the mix, and the ten I've thrown out. Topics include: why single-agent-with-many-tools usually beats a team of agents until it suddenly doesn't; how to design a router that survives tool-name collisions across multiple MCP servers; state strategies that don't rot; retry and compensation patterns for idempotent vs non-idempotent tools;

Every pattern in the talk is tied to a specific public build with working code, so attendees can go verify, fork, or challenge anything I claim.
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 →
Monday June 15, 2026 4:15pm - 4:40pm IST
Lotus 2

4:40pm IST

The AI-First Device Farm: Exposing Remote Hardware Infrastructure Via MCP - Kalyan Kolachala, SymphonyAI Group India & Vaishali Shetty, GetWell Network (SAI Group)
Monday June 15, 2026 4:40pm - 5:05pm IST
For a geographically distributed Dev and QA team, accessing physical Set-Top Boxes for debugging is a constant bottleneck. By deploying Remote MCP, we transformed our physical STB testing lab into a shared, AI-accessible platform. This talk covers the infrastructure needed to host Remote MCP servers that interface with a fleet of physical devices. We will explore how developers can now use their local AI assistants (like Claude) to securely connect to, setup, and debug remote STBs as if they were sitting on their desks.
Speakers
avatar for Kalyan Kolachala

Kalyan Kolachala

Managing Director and Head of AI, SymphonyAI Group India
Kalyan is a senior engineering leader with experience in delivering world class, enterprise products and platforms involving SaaS, AI/ML, GenAI, Kubernetes, Cloud, and big data. He is currently India MD at SAI Group, a global enterprise AI leader. Worked previously at Intuit and Hitachi... Read More →
avatar for Vaishali Shetty

Vaishali Shetty

Architect - QA, Performance and Observability, GetWell Network (SAI Group)
Vaishali Shetty is a Principal Engineer at GetWell Network (SAI Group) and a Architect specializing in qa, performance, observability, and generative AI. She has held architect roles at Mycom and Hitachi Vantara, and leadership roles at Altisource Labs and Oracle. She designs testing... Read More →
Monday June 15, 2026 4:40pm - 5:05pm IST
Lotus 2

5:35pm IST

Building Interactive Tools With MCP Elicitation - Ashwin Hariharan, Redis
Monday June 15, 2026 5:35pm - 6:00pm 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 →
Monday June 15, 2026 5:35pm - 6:00pm IST
Lotus 2
  Building with MCP

6:00pm IST

Stop the Wild Goose Chase: Enterprise Agents With Goose - Ram Iyengar, OpenSSF
Monday June 15, 2026 6:00pm - 6:25pm IST
The promise of autonomous AI agents has sent engineering teams on a wild goose chase—juggling vendor lock-in, unpredictable costs, & security nightmares all for an agent to execute a simple workflow.

Stop chasing and start building!

Enter goose: the open-source, general-purpose framework, designed to run natively on your machine. It connects to any LLM. goose shifts the paradigm from fragile and remote to robust and local.

In this talk, we shall explore how to successfully architect and deploy goose within an enterprise environment. Chop through hype to demonstrate how goose leverages MCP to integrate with your choice of tools. More importantly, we will tackle the critical enterprise realities of deploying autonomous agents: establishing strict token budgets, implementing robust security guardrails to prevent destructive terminal commands, and building "Custom Distros" to standardize AI workflows across your entire engineering organization.

Automate mundane research, streamline CI/CD, or safely vibecode ― you will leave this session with a practical blueprint for making open-source agents work for your enterprise, thanks to goose.
Speakers
avatar for Ram Iyengar

Ram Iyengar

India Community lead, OpenSSF
Ram Iyengar is an engineer by practice and an educator at heart. He was (cf) pushed into technology evangelism along his journey as a developer and hasn’t looked back since! He enjoys helping engineering teams around the world discover new and creative ways to work. He is a proponent... Read More →
Monday June 15, 2026 6:00pm - 6:25pm IST
Lotus 2

6:25pm IST

MCP-Powered Ops: Red Hat Kubernetes MCP & Grafana MCP for Mission-Critical Applications - Rishi Nikhilesh Damerla & Sayantan Karmakar, Motorola Solutions
Monday June 15, 2026 6:25pm - 6:50pm IST
At Motorola Solutions, downtime isn’t just an inconvenience—it’s a public safety risk where lives are at stake. This session explores how we revolutionized incident response for mission-critical applications by moving beyond fragmented tools and alert fatigue. Historically, siloed data across Kubernetes and Grafana led to 45-minute MTTRs and manual context-switching.

We will detail our adoption of the Model Context Protocol (MCP), specifically utilizing Red Hat Kubernetes and Grafana MCP servers to build an AI-assisted operations layer. Learn how this unified context allows an AI agent to correlate metrics with cluster states in seconds, reducing MTTR to under 4 minutes while sustaining 99.99% uptime.

We'll share our production architecture for natural language incident resolution and our "human-in-the-loop" approach that ensures SREs remain in control of all write operations. Attendees will leave with practical guidance on scaling reliability in regulated environments and empowering junior engineers with senior-level operational context. Discover how to turn fragmented data into a mission-critical intelligence amplifier.
Speakers
avatar for Rishi Nikhilesh Damerla

Rishi Nikhilesh Damerla

Manager, Software Engineering, Motorola Solutions
Dynamic Engineering Manager leading CPS Observability teams at Motorola Solutions, specializing in Prometheus, Grafana, Elastic Stack, Kubernetes (GKE/OpenShift/Native), and AI/ML integrations (Vertex AI, Agentic AI workflows). Drives unified observability, SRE excellence, and platform... Read More →
avatar for Sayantan Karmakar

Sayantan Karmakar

Platform Devops Engineer 2, Motorola Solutions
I’m a Platform DevOps Engineer with 8+ years of experience specializing in open-source platforms, cloud-native technologies, and GitOps practices. I’m a Golden Kubestronaut, Red Hat, AWS, Terraform and OCI certified, with hands-on expertise in multiple Cloud Native tools. I’m... Read More →
Monday June 15, 2026 6:25pm - 6:50pm IST
Lotus 2
  Agent Architecture + Orchestration
  • Audience Experience Level Any
 
  • Filter By Date
  • Filter By Venue
  • Filter By Type
  • Audience Experience Level
  • Timezone

Share Modal

Share this link via

Or copy link

Filter sessions
Apply filters to sessions.