Workflow context for AI agents with Smartsheet MCP on AWS
AI agents can now read, update, and act on live organizational data through the newly available Smartsheet Model Context Protocol Server on AWS.
Radwan AbdulhadiEditor and technology writer
Introduction to Smartsheet MCP Server
Artificial intelligence agents deliver the highest utility when they can directly act on real work occurring across an organization. Managing complex operations involves cross-functional tasks like updating project timelines, reassigning assignments, and checking statuses. To support these workflows without requiring users to switch applications, Smartsheet has launched a generally available Model Context Protocol (MCP) Server.
Through the Smartsheet MCP Server, AI assistants can read, write, and manage enterprise data using a standardized protocol. This protocol encompasses more than 40 tools designed for exploring, creating, and managing sheets, rows, columns, and automations. Users can update task statuses, create rows, and modify project structures directly using natural language.
Integration Paths for Business and Development Teams
The platform introduces two distinct ways to connect the MCP server into existing workflows. Amazon Quick is an agentic AI workspace built specifically for business users, project managers, and operations teams who want to ask questions, update sheets, and build dashboards through natural language without writing code. Meanwhile, Kiro offers an agentic IDE where developers connect via MCP to reference project specs, update task statuses, and track dependencies without leaving their coding environment.
For instance, when a project manager needs to check blocked sprint tasks, they can ask Amazon Quick using natural language. The chat agent queries the MCP server, pulls relevant rows, and surfaces a summary containing owner names and due dates based on live data. Similarly, developers utilizing Kiro can pull current sprint sheets to view open backend tasks assigned to them, and automated hooks can update row statuses to complete upon code commit.
Architecture and Token-Efficient Design
The Smartsheet MCP Server acts as a central integration layer connecting directly to AWS services, with Amazon Quick and Kiro serving as primary MCP clients. The server provides precisely structured context covering row relationships, column types, cell history, and comments. This design generates token-efficient payload sizes rather than returning raw API payloads, helping organizations reduce costs and improve latency when scaling hundreds of AI-assisted queries.
Prerequisites and Connection Details
Prior to connecting the Smartsheet MCP Server to Amazon Quick and Kiro, users must verify several requirements. These include an active AWS account with proper IAM permissions, a Smartsheet account on a Business, Enterprise, or AWM plan, and appropriate authentication credentials such as a Personal Access Token or OAuth flow support. Developers installing Kiro need Node.js available in their environment, while Amazon Quick users require author or higher permissions.
The Smartsheet MCP Server operates across three regional endpoints, utilizing Streamable HTTP transport and supporting authentication via OAuth 2.0 or a Personal Access Token. Users can locate connection settings within the Amazon Quick console by navigating to the Connectors directory and entering the regional base URL and developer credentials.
Deployment Options and Capabilities
Teams can select their deployment path depending on where their work happens. Amazon Quick provides a fully managed, organization-wide solution with pre-built OAuth integration suited for enterprise knowledge workers. Conversely, Kiro offers a lightweight approach for developers relying on configuration files and personal access tokens scoped directly to individual workflows.
Once configured, chat agents can immediately process natural language requests against live resources. Users can execute queries such as identifying portfolio projects at risk, updating specific task statuses in backend API sheets, or generating automated summaries of overdue items across roadmaps.
Sources
- AWS Machine Learning BlogWorkflow context for AI agents with Smartsheet MCP on AWS
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