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How Smartsheet built a remote MCP server on AWS

BACKGROUND
2 SIGNALSFIRST DETECTED 17 July 2026
Narrative synthesis pending — 2 signals collected.
How the story developed
20 Oct
Work management context for AI agents with Smartsheet MCP on AWS
REPORT · WHAT · AWS Machine Learning Blog
2.9
17 Jul
How Smartsheet built a remote MCP server on AWS
REPORT · HOW · AWS Machine Learning Blog
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5 Oct
Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion

Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone

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5 Aug
How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP tools

AI agents on Amazon Bedrock AgentCore run in the cloud, but users' tools and files live on their laptops. Learn how to build a secure MCP bridge that lets a cloud-hosted agent

REPORT · HOW · AWS Machine Learning BlogOPEN STORY
8 Jul
Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio

In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development

REPORT · HOW · AWS Machine Learning BlogOPEN STORY
7 May
MCP is APIs for Agents

<p>REST APIs gave humans (and the code they wrote) a standardized way to access software over the network.</p> <p>MCP is trying to do the same thing for agents.</p> <p>That simple

REPORT · HOW · Dev.toOPEN STORY
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