Smartsheet launches MCP Server for AI agents to manage work data on AWS
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.
What you can do with it
AI at Work →Check project status with Amazon Quick
What you get You can ask Amazon Quick to read or modify Smartsheet data without leaving your chat interface.
Lets business users retrieve, edit, and create Smartsheet rows via natural language.
- Who for
- marketers
- Cost
- Price not stated
- Effort
- minutes
Use it for
- Check project status
- Update task rows
- Create summary reports
How to set it up · From the article
- In the Amazon Quick console, go to Connectors and select the Smartsheet connector.
- Enter the base URL https://mcp.smartsheet.com and provide your Smartsheet auth credentials.
- Publish the connection; the chat agent can now query and update Smartsheet data.
Watch out Requires Smartsheet Business+ plan
Key points from the news
- 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.
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.
Work management context for AI agents with Smartsheet MCP on AWS
AWS Machine Learning Blog · 20 October 2026
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This text was published by AWS Machine Learning Blog and written by Galina Jordanowa. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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