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Model Context Protocol (MCP): Bridging Agentic AI and Snowflake Data Systems

Enable secure, AI-driven data workflows by connecting agentic AI directly to Snowflake. 

Model Context Protocol (MCP) is an emerging open standard that allows AI assistants like Claude and Cursor to securely interact with enterprise data systems. When combined with Snowflake’s native MCP server, organizations can move beyond experimentation and unlock practical, production-ready agentic AI without compromising governance or control. 

This white paper explores how MCP works in the context of modern Snowflake data warehouses and provides clear guidance for implementing AI agents that can query, analyze, and reason over your data in real time. 

What You’ll Learn: 

  • What Model Context Protocol (MCP) is and how its core components work together
  • How Snowflake’s MCP server enables AI assistants to query and explore data securely
  • How to set up an MCP connection in minutes using Claude or Cursor
  • Where MCP delivers the most valueand how to evaluate its use for your organization 

Discover how MCP can turn AI assistants into trusted, on-demand data experts inside your Snowflake environment.  

Authors

Rosh Plaha

Head of UK&I, Hakkoda

With over a decade of hands-on cloud engineering experience across startups and regulated sectors. Holding AWS certifications in Machine Learning and DevOps, he specializes in accelerating business outcomes through modern data platforms, DevSecOps, and AI-driven solutions. Rosh has co-authored white papers on scalable computing and presented at major technical conferences, consistently bridging the gap between technical innovation and strategic business value.

Sohaib Ansari

Lead Data Engineer, Hakkoda

Lead data engineer with over seven years of hands-on experience designing, building, and scaling data platforms in modern cloud environments. He specializes in end-to-end data pipelines, analytics engineering, and cloud-native architectures, enabling organizations to turn complex, distributed data into reliable insights that directly inform business decisions. Sohaib has led the delivery of production-grade data solutions in close collaboration with cross-functional teams, consistently linking strong engineering standards with strategic business outcomes.