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Wed, October 2101:59ToolsAPI & pricingMCP & SkillsAgentsAPI & pricing guide

Smartsheet MCP server goes GA on AWS with 40+ tools

Decision Brief

What changedSmartsheet released a generally available MCP server on AWS that lets AI agents read and write Smartsheet sheets, rows, columns, and automation data.
Why it mattersFor teams using Amazon Quick or Kiro, project progress, task status, and blockers can now be read and written directly in chat or coding workflows, eliminating manual table lookups or separate reports.
Who should careAI coding tool users, Agent builders
Affected stackMCP
Builder actionUpdate MCP to the latest version
Source confidenceHigh · Official release / blog / repo

Smartsheet has launched a generally available MCP server covering 40+ tools across sheets, rows, columns, and automations, enabling natural-language updates to task status, row creation, and project structure changes. Endpoints are available in US, EU, and AU regions over Streamable HTTP, with OAuth 2.0 or personal access token auth. Smartsheet says it returns structured context rather than raw API payloads, cutting token usage and latency when running hundreds of queries across a portfolio. There are two integration paths: Amazon Quick offers it as a built-in connector so PMs and ops teams can ask which tasks are blocked, update statuses, or generate overdue summaries in chat; Kiro connects via an MCP config JSON so developers can pull current sprint tasks, generate specs, and use hooks to auto-mark rows complete after commits. Permissions follow the Smartsheet REST API layer: agents only see data the authenticated user can access, admins can toggle AI features globally and configure write-tool access by user group, and firewalls just need domain allowlisting. The server doesn't store prompts, only structured tool calls and results. Requires a Smartsheet Business, Enterprise, or AWM plan.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

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