# Smartsheet launches MCP Server for AI agents to manage work data on AWS

Digest AI · Enterprise & Industry · published 2026-10-20T17:59:07Z

Canonical: https://digestai.news/story/smartsheet-launches-mcp-server-for-ai-agents-to-manage-work-data-on-aw

## Summary

Smartsheet announced the general availability of its Model Context Protocol (MCP) Server, a standardized layer that lets AI agents read, write, and manage Smartsheet data. The server supports more than 40 Smartsheet tools—including sheets, rows, columns, and automations—and is offered through regional endpoints in the US, EU, and AU.

Amazon Quick, an agentic AI workspace, and Kiro, an agentic IDE for developers, can connect directly to the MCP Server. Business users can ask Amazon Quick natural‑language questions to retrieve project status or update rows, while developers can use Kiro to pull specs, change task status, and automate workflow hooks without leaving their code editor. The integration is designed for token‑efficient payloads, reducing cost and latency when handling hundreds of AI‑assisted queries.

To set up, users need an AWS account with appropriate IAM permissions, a Smartsheet Business or Enterprise plan, and either a Personal Access Token or OAuth credentials. The article provides step‑by‑step instructions for adding the Smartsheet connector in Amazon Quick and configuring Kiro via a JSON file. Enterprise administrators can enforce AI controls and permission checks, ensuring agents only access data the authenticated user is allowed to see.

## Key points

- Smartsheet made its MCP Server generally available, enabling AI agents to read/write Smartsheet data via a standard protocol.
- The MCP Server supports over 40 Smartsheet tools and is reachable through US, EU, and AU regional endpoints.
- Amazon Quick and Kiro act as MCP clients, allowing business users or developers to manage sheets with natural language.

## Why it matters

Standardizing AI access to work‑management data lets enterprises automate project updates at lower cost and latency, expanding practical AI use in daily operations.

## Sources

1. [Work management context for AI agents with Smartsheet MCP on AWS](https://aws.amazon.com/blogs/machine-learning/work-management-context-for-ai-agents-with-smartsheet-mcp-on-aws) (AWS Machine Learning Blog, 2026-10-20, primary source)

## Cite

Digest AI, "Smartsheet launches MCP Server for AI agents to manage work data on AWS", 20 October 2026, https://digestai.news/story/smartsheet-launches-mcp-server-for-ai-agents-to-manage-work-data-on-aw

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