October 26, 2026

Smartsheet MCP Server for AI Agents with Amazon Quick and Kiro

← AI for Your Work

WebCrimp analysis and practical explanation. AI-assisted; reviewed before publication.

Quick Summary

Smartsheet launched a generally available Model Context Protocol server on AWS, allowing AI assistants to 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. Amazon Quick and Kiro can act as MCP clients, connecting to Smartsheet for natural-language work management.

What Happened?

Smartsheet introduced a generally available Smartsheet MCP Server built on AWS. It supports Streamable HTTP transport and OAuth 2.0 or Personal Access Token authentication. Amazon Quick has a pre-built Smartsheet connector, while Kiro can use Smartsheet through an MCP configuration. The architecture places the MCP server as a central integration layer between AI clients and the Smartsheet API and data layer. The sprint management example describes checking blocked tasks, updating statuses, and tracking dependencies.

Why It Matters

AI agents are useful for real work management when they can act on actual organizational work. Smartsheet describes complex cross-functional tasks such as updating project timelines, reassigning tasks, and surfacing status. The MCP server aims to let AI assistants read, write, and manage Smartsheet data without switching tools.

Who Can Use It?

AI/ML · Business · Cloud · DevOps · Management · Operations · Software Development

How Can I Use This?

If you work in AI/ML, Business, Cloud, DevOps, Management, Operations, Software Development

  • Project managers can ask Amazon Quick about portfolio projects that are At Risk or update task statuses. Operations teams can request summaries of overdue items. Developers can use Kiro to inspect sprint sheets and update task status through hooks. Start with read-only summaries, then use confirmed writes. Workflow suggestions need verification.

AI Tip

Use the structured context from Smartsheet MCP, such as row relationships, column types, cell history, and comments, for token-efficient payloads.

AI Trick

Chain tools such as get_sheet_summary, search, create_discussion_on_row, update_rows, get_columns, and list_reports to support status checks, audits, and summaries.

Example Workflow

  1. Connect Smartsheet MCP to Amazon Quick or Kiro, verify IAM and Smartsheet permissions, then test read-only queries before write actions. For production, consider OAuth and enterprise governance.

Copy This Prompt

Using {{mcp_client}}, inspect the Smartsheet sheet named {{sheet_name}}. List rows for {{owner_name}} that are Blocked or At Risk, and summarize overdue items with owners and due dates. Do not update anything yet.

Recommended Tools

  • Smartsheet MCP Server
  • Amazon Quick
  • Kiro
  • Smartsheet API
  • AWS IAM

Check official documentation, availability and pricing before using these suggestions.

Difficulty

Intermediate

Estimated Time Saved

Not measured; validate with your own workflow.

Source

AWS AI
Work management context for AI agents with Smartsheet MCP on AWS
Original publication date: 2026-10-20T17:59:07+00:00