Work management context for AI agents with Smartsheet MCP on AWS

The AWS post, republished on the Amazon Quick Community site, describes work management as involving complex, cross-functional tasks such as updating project timelines, reassigning tasks, and surfacing status.[2] According to the post, "AI agents can support you with these without anyone switching tools."[2]The post builds on an earlier AWS blog from July, which said Smartsheet built a remote Model Context Protocol (MCP) server on AWS that gives AI clients direct access to its data and capabilities.[3] That July post named Amazon Bedrock and Amazon Neptune among the AWS services in the data path, used for LLM inference and knowledge graph powering cross-project insights.[3]The July AWS post also said administrators can turn on AI access globally, restrict to non-destructive operations only, or open up full write and destructive capabilities[4].On its own website, Smartsheet says the server works with Claude, Copilot, Gemini, ChatGPT, Amazon Quick, and more[5]. In an April post, the company said the server is now generally available.[6]Smartsheet also says the server filters and compresses your work data before it reaches the model[5].In June, research firm Futurum Group reported that Smartsheet's open approach has driven a 9x increase in weekly active users and nearly 3,000 new organizations added in the last month[7].