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June 14-15, 2026
Mumbai, India
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Sunday June 14, 2026 5:15pm - 5:40pm IST
There is a fundamental contradiction at the heart of production deployments for the Model Context Protocol (MCP). Conceptually, MCP sessions are stateful: they establish connections, negotiate capabilities, and persist context. However, modern deployment environments—like Kubernetes horizontal scaling, serverless functions, and AWS Bedrock AgentCore—are inherently stateless.

The current ecosystem advice is simply to "externalize your state," but there is no standardized infrastructure for doing this natively within MCP. Developers are forced to build ad hoc memory management using custom Redis wrappers or brittle in-memory dictionaries.

This session introduces the State Sidecar pattern: a dedicated MCP server whose sole responsibility is to store, manage, and retrieve agent workflow state. Instead of building custom database connectors, any agent can call the sidecar via standard MCP tool calls to persist intermediate results, track task progress, and maintain context summaries.
Speakers
avatar for Joval Kuruvila

Joval Kuruvila

Software Engineer, Caze Labs Private Limited
Joval Kuruvila is a Bengaluru-based AI/LLM Engineer with 2 years of experience building production-grade GenAI systems. Currently at Caze Labs Pvt Ltd, he specializes in agentic workflows (LangGraph), RAG pipelines, and real-time conversational AI. A B.Tech graduate, open-source contributor... Read More →
avatar for Advaith Sanil Kumar

Advaith Sanil Kumar

AI Intern, Caze Labs | Student, PES University and IIT-Madras, Caze Labs Private Limited
Advaith Sanil Kumar is an AI researcher and developer focused on building intelligent, context-aware systems. Currently an AI Intern at Caze Labs and contributor to open-source MCP ecosystem efforts under the Linux Foundation, he works on LLM testbeds, agentic systems, and prompt... Read More →
Sunday June 14, 2026 5:15pm - 5:40pm IST
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