MCP Dev Summit Bengaluru 2026: Full Schedule

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

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

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

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

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

Audience Experience Level Intermediate

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

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 →

Stuti Sinha

Software Engineer, IBM

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

Reeva Nanda

Software Engineer, IBM India

Reeva Nanda is 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 →

Pradipta Ghosh

AI Software Architect, IBM

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 →

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

Audience Experience Level Intermediate

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

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

Audience Experience Level Intermediate

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

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

Audience Experience Level Beginner

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

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.

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

Audience Experience Level Beginner

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

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

Audience Experience Level Beginner

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

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

Audience Experience Level Intermediate

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

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

Audience Experience Level Intermediate

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

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 →

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

Audience Experience Level Intermediate

11:00am IST

Beyond Tools and Resources: A Deep Dive into MCP Sampling for Agentic Features - Kevin Vaz, Smartbear

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

Scarlet 2&3

Most MCP servers are one-shot: the client asks, the server answers. But some features need the server to reason mid-execution like summarise a diff before returning it, classify input to pick the next step, recover from ambiguity instead of failing, generating new data. That's what sampling unlocks: the server calls back into the host's LLM, without ever holding its own model keys.

This deep dive walks through sampling/createMessage feature provided by the mcp protocol and its internals messages, modelPreferences, includeContext, systemPrompt — and what the client is actually allowed to modify. We'll cover capability negotiation and the human-in-the-loop approval flow, then step through how sampling patterns are actually built in the smartbear-mcp server, using its implementations over there to understand how one could build their own sampling features.

Then the hard parts: agent loops, token-budget blowups, portability across clients using different model providers.

You'll leave knowing when sampling beats tools or elicitation, and with patterns you can lift today.

Speakers

Kevin Rohan Vaz

Senior Software Engineer, Smartbear

Kevin Rohan Vaz is a Senior software engineer at SmartBear and a core contributor to the open-source smartbear-mcp server and swagger contract testing features, where he designs and ships the server's sampling, tools, and resource integrations. He spends his time turning MCP spec... Read More →

Wednesday June 10, 2026 11:00am - 11:25am IST
Scarlet 2&3

MCP Protocol in Depth

Audience Experience Level Beginner

11:25am IST

Closing the Loop on Observability: Using MCP for Continuous Telemetry Optimization - Parthiv Roshan Menon, Smarsh

Wednesday June 10, 2026 11:25am - 11:50am IST

Scarlet 2&3

Modern observability stacks make it easy to collect telemetry, but not to derive value from it. Teams accumulate unused metrics, high-cardinality signals, and noisy dashboards, leading to rising costs and poor signal quality.

This talk introduces a practical mental model inspired by the Rumsfeld Quadrant to reason about observability in terms of signals we measure vs signals we actually use. In our analysis of a our Observability stack, nearly 70% of collected signals showed little to no usage, reflecting a Pareto-like distribution of signal value.

We present a closed-loop approach that we used to analyze observability metadata and continuously optimize the system. MCP was used as the coordination layer to expose metadata and connect analysis, reasoning, and action workflows.

We will walk through how low-value signals were identified, how recommendations were generated and applied in a real-world large scale observability platform.

Speakers

Parthiv Roshan Menon

Parthiv Roshan Menon, Smarsh

Platform Engineer with ~10 years of experience building and scaling observability platforms. Focused on improving signal-to-noise ratio in large telemetry systems and exploring the use of MCP and LLMs for feedback-driven optimization. Active in open source and currently building tools... Read More →

Wednesday June 10, 2026 11:25am - 11:50am IST
Scarlet 2&3

Enterprise Adoption + Integration

Audience Experience Level Any

11:50am IST

From MCP Discovery To Execution: Building a Governed Marketplace & Gateway for Agentic Systems - Rahul Ganesh Partheeban, Freshworks

Wednesday June 10, 2026 11:50am - 12:15pm IST

Scarlet 2&3

We started building an MCP gateway in early 2025, when the spec was still maturing, and there were no established patterns for multi-tenant enterprise implementation.

This talk will delve into the key patterns we used for taking MCP from POC to Production. We'll also cover layering MCP as a gateway over an existing platform:

- Propagating tenant context through the MCP handshake, so a single gateway can safely serve thousands of accounts.
- Decoupling session state from pod affinity with a distributed session store — needed for horizontal auto-scaling and safe rolling deploys.
- A three-tier error model (protocol/gateway/application) so agents classify failures and retry intelligently.
- A sub-registry that extends the registry with vetting and curates trusted Remote MCP servers with per-tenant install state.
- Multi-tenant session and secret management with One-click install and OAuth 2.1 + Dynamic Client Registration handled by the marketplace, not by every AI client.
- MCP gateway that proxies to remote servers under shared FUP, rate limits, retries/circuit-breaking, and analytics - handling a black-box third-party server with guardrails.

Speakers

Rahul Ganesh Partheeban

Lead Software Engineer - Systems, Freshworks

Rahul Ganesh Partheeban is a Lead Software Engineer at Freshworks, working on platform engineering for marketplace integrations and app ecosystems. He builds extensible, event-driven, multi-tenant platforms powering thousands of integrations and developer workflows. He played a leading... Read More →

Wednesday June 10, 2026 11:50am - 12:15pm IST
Scarlet 2&3

Ecosystem Registries + Platform Infrastructure

Audience Experience Level Any

12:15pm IST

Agents Don't Fail, Environments Do: Lessons From Production MCP Deployments in Telecom - Divya Vijay, NetoAI

Wednesday June 10, 2026 12:15pm - 12:40pm IST

Scarlet 2&3

At NetoAI we build AI agents for telecom network operations. Our Rapid Root Cause Analysis Agent, built on our open-source TSLAM models (22k+ HF downloads), runs against live operator networks.

When we moved to MCP as the tool-interface layer, agents that passed eval started breaking weeks after production launch. The model, prompts, retrieval, none were root cause. The tool environment itself was.

So we built a digital-twin simulation of our production telecom domain and stress-tested MCP agents across four axes:
1). tool-set scale
2). task complexity
3). persona variability
4). deterministic repetition.

Tool-selection accuracy is near-perfect up to ~20 exposed tools, then collapses. One bad early dependency step cascades the whole workflow.

I'll walk through the seven failure patterns we kept hitting, including Tool Selection Collapse and Cascading Fragility, the three architectural root causes behind them, and the task-scoping and dependency-aware fixes that worked. You leave with a pre-launch methodology for your own MCP servers vendor-neutral, applicable to any dependency-dense domain.

Speakers

Divya Vijay

Senior AI Engineer, NetoAI

Senior AI Engineer at NetoAI, building production agent systems. Co-author on T-VEC and G-SPEC research papers. Previously Software Engineer at Prodapt. 3 years of shipping AI and full-stack software across agentic and UI engineering in telecom.

Wednesday June 10, 2026 12:15pm - 12:40pm IST
Scarlet 2&3

Agent Architecture + Orchestration

Audience Experience Level Beginner