Connect AI Agents with MCP | Do It Better with FME & Snowflake

See how AI agents use Model Context Protocol (MCP) with FME to connect complex enterprise and spatial data to Snowflake. In this episode of Do It Better with Snowflake, Safe Software CEO Don Murray demonstrates how FME extends Snowflake Cortex AI Agents with FME workflows for data integration, transformation, and spatial analysis.
See how Snowflake + FME can help you:

🔗 Connect complex data: including GIS, CAD, 3D, LiDAR, BIM, ERP, and unstructured data.

🤖 Extend AI agents with MCP, turning FME workflows into governed AI tools that agents can use to access data and trigger workflows.
🔑 Unlock spatial capabilities: analyze, validate, and transform complex geospatial data.

❆ Run FME workflows inside Snowflake using FME Remote Engines Service with Snowpark Container Services.

❄️ Explore FME Remote Engines Service on Snowflake Marketplace: https://app.snowflake.com/marketplace/listing/GZTYZER4DRT/safe-software-inc-fme-remote-engines-service-trial

Or visit https://fme.safe.com/platform/snowflake-marketplace/

Learn more about Snowflake:
➡️ Website: https://www.snowflake.com
➡️ Careers: http://careers.snowflake.com
➡️ Podcast page: https://www.snowflake.com/thedataclou...
➡️ Twitter: / snowflake
➡️ Instagram: / _snowflake_inc
➡️ LinkedIn: https://bit.ly/2QUexl4
#Snowflake #AIDataCloud #AIAgents #ModelContextProtocol #AgenticAI