overfeed.news

Work management context for AI agents with Smartsheet MCP on AWS

20h

Age

Published
Collected
Image: AWS Machine Learning Blog

The Smartsheet Model Context Protocol (MCP) Server lets AI agents read, update, and act on live work management data. This post shows two ways to connect it on AWS: Amazon Quick for business teams and Kiro for developers, so your agents can work with Smartsheet without switching tools.

Excerpt from the source

AI agents are most useful when they can act on the real work happening across your organization. Work management involves complex, cross-functional tasks such as updating project timelines, reassigning tasks, and surfacing status. AI agents can support you with these without anyone switching tools. Smartsheet , the work management platform for managing projects, portfolios, and operations, has launched a generally available Model Context Protocol (MCP) Server. With the Smartsheet MCP Server ,…

Read the full article at aws.amazon.com

overfeed.news indexes and links. We publish a short excerpt — the full article stays at AWS Machine Learning Blog.

Log in to follow this source

From data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore

Enterprise supply chains are data-rich but insight-poor, with the data to decide scattered across ERP, monitoring, procurement, and email. This post shows how Amazon Bedrock AgentCore exposes those systems as a governed tool layer, and how Amazon Quick turns them into one conversational experience for business users, with a deploy-it-yourself walkthrough.

Work management context for AI agents with Smartsheet MCP on…