Introduction
Modern enterprises need more than just fast data storage as they need intelligent, real-time decisioning that integrates AI directly into cloud platforms like Snowflake. But legacy integration approaches, relying on custom connectors and fragmented workflows, slow down innovation and introduce risk. That’s where LTIMindtree’s adoption of Model Context Protocol (MCP) changes the game.
By using MCP as a standardized integration layer, we’ve unlocked plug-and-play connectivity between AI models and Snowflake. The result? Faster project delivery, stronger security, scalable orchestration, and data-driven agility for business teams. This new architecture isn’t just a technical win — it’s a blueprint for future-ready enterprise AI integration.
Want to replicate this integration in your enterprise?
Download the full POV to explore the technical architecture, key modules, lessons learned, implementation roadmap and everything you need to get started with MCP and Snowflake.
