The generally available server gives AI assistants more than 40 tools to read, write, and manage Smartsheet data.

Smartsheet launched a generally available Model Context Protocol Server that lets AI assistants read, write, and manage Smartsheet data through a standardized protocol. The server includes more than 40 tools for exploring, creating, and managing sheets, rows, columns, and automations. Teams can update task statuses, create rows, and modify project structure with natural language.

Amazon Web Services published the integration guidance for Smartsheet MCP on its Machine Learning Blog. Amazon Quick serves business users, project managers, and operations teams with an agentic AI workspace for natural-language queries and updates. Kiro gives developers an agentic IDE that references project specs, updates task status, and tracks dependencies without leaving the coding workflow.

Operators gain a direct path from AI workspaces and IDEs into live work management data, so project managers and developers can act without switching tools. A sprint team can ask Amazon Quick for blocked tasks with owner names and due dates, and developers can ask Kiro for open backend tasks assigned to them. The MCP Server turns those requests into reads and writes against Smartsheet sheets, rows, and columns.

Teams evaluating the server can start with sprint sheets that hold tasks, owners, statuses, and blockers. Amazon Quick offers a path for project managers and operations teams, while Kiro offers a path for developers. Watch how each client maps natural-language requests to Smartsheet reads, writes, and automation actions.

What matters

• Smartsheet released a generally available MCP Server with over 40 tools for sheets, rows, and automations.
• Builders can update task statuses and project structure through natural language inside existing workflows.
• Watch how Amazon Quick and Kiro connect Smartsheet data to sprint planning and development workflows.

Why it matters

Watch how Amazon Quick and Kiro connect Smartsheet data to sprint planning and development workflows.

This GenAI News article was prepared in original wording using reporting and materials published by AWS Machine Learning Blog. Source reference: https://aws.amazon.com/blogs/machine-learning/work-management-context-for-ai-agents-with-smartsheet-mcp-on-aws/.

Drafted by the GenAI News review pipeline.