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How Smartsheet built a remote MCP server on AWS

Smartsheet's remote MCP server on AWS shows how enterprises are building AI infrastructure at scale—security, governance, and optimization all baked in.

Reporting by AWS Machine Learning Blog 1 min brief
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

As companies move beyond chatbot pilots, infrastructure decisions around MCP servers, AWS deployment patterns, and AI-specific optimizations are becoming competitive advantages. Smartsheet's architecture offers a blueprint for enterprise AI scaling.

The key facts

9 to know

  1. Smartsheet deployed remote MCP server on AWS

  2. Focus areas: security, governance, scaling, deployment

  3. AI-specific optimizations built into architecture

  4. Published by AWS ML blog (credible source)

  5. MCP (Model Context Protocol) infrastructure for enterprise use

  6. Smartsheet deployed remote MCP server architecture on AWS

  7. Focus areas: security, governance, scaling, deployment, AI-specific optimizations

  8. Case study demonstrates enterprise-grade infrastructure for AI integration

  9. Model Context Protocol (MCP) used for AI tool integration

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: In this post, we cover a high-level view of the Smartsheet remote MCP architecture, with a focus on the AWS infrastructure behind it. This includes security, governance, scaling and deployment, and the AI-specific optimizations Smartsheet built on AWS.
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