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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.


Monday June 15, 2026 4:50pm - 5:15pm IST
Modern AI agents struggle not because of reasoning limits, but because of interaction with tools on interfaces designed for humans. In agentic systems, this mismatch leads to incorrect tool selection, redundant calls, increased latency, & weak workflows that fail under real-world conditions. As MCP emerges as a standard for how models connect with tools & applications (LF Events), it provides a path to move from heuristic interactions to structured, contract-driven systems.

Taking a travel customer use case, this talk explores how the MCP redefines agent-tool interaction through schema-based contracts, enabling deterministic execution & reducing ambiguity. We’ll dive into MCP architecture—servers, clients, transports—& demonstrate how standardized tool definitions improve reliability & efficiency in agent workflows. We’ll compare a traditional API-driven approach with an MCP-based design, highlighting measurable improvements in latency, cost, & system behavior.

We’ll also cover production architectures: building MCP-compliant services, scaling them using containerized infrastructure, & implementing observability, security, & governance & failure handling real-world deployments.
Speakers
avatar for Anannya Roy Chowdhury

Anannya Roy Chowdhury

Developer Advocate, AWS
Anannya is an AI Engineer and Architect specializing in Agentic systems, production-grade GenAI, and Responsible AI design. As a GenAI Developer/Advocate at AWS, she works at the intersection of building multi-agent architectures, observability, and real-world AI deployment to—helping... Read More →
Monday June 15, 2026 4:50pm - 5:15pm IST
Lotus 3 (Level 3)
  Building with MCP
  • Session Slides Yes

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