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.
What changed
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.
Price and bundle value
With the Smartsheet MCP Server , AI assistants can read, write, and manage Smartsheet data through a standardized protocol. The protocol spans more than 40 tools for exploring, creating, and managing sheets, rows, columns, and automations. You can update task statuses, create rows, and modify project structure directly through natural language.
AI features that change the value
The following diagram shows how the Smartsheet MCP Server sits as the central integration layer connecting to AWS services. Amazon Quick and Kiro connect directly as MCP clients.
Who should pay attention
Amazon Quick serves knowledge workers, project managers, and operations teams who want to query, update, and automate Smartsheet through natural language. With Kiro, developers can reference project specs, update task status, and track dependencies without leaving their coding workflow.
Patrick Tech Media take
The following architecture diagram illustrates these integration paths: the Smartsheet MCP Server in the center, with Amazon Quick and Kiro as MCP clients on the left, and Smartsheet’s API and data layer on the right.
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