MCP Dev Summit Bengaluru 2026

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.

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.

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.