Smartsheet is an enterprise work management platform that hundreds of thousands of organizations rely on. As enterprise teams adopt AI agents, those agents need structured access to the data inside systems like Smartsheet, but most systems aren’t built for that. To bridge this gap, Smartsheet built a remote Model Context Protocol (MCP) server on AWS that gives AI clients direct access to its data and capabilities. AI assistants like Amazon Quick and Claude Desktop help users interact with Smartsheet’s capabilities through natural language, analyzing project data, updating tasks, creating sheets, managing workspaces, and more.

Enterprises are also building custom AI agents for workloads that run without human prompting. These AI agents can work autonomously in their roles, coordinating through Smartsheet using MCP. A few examples are capturing requirements, picking up tasks, attaching test results, drafting documentation. These happen in the same sheets their human counterparts use, compressing workflows that took weeks into days or hours.

The MCP server connects to Smartsheet’s existing APIs and central intelligence layer. It also adds an AI-optimized interface on top, designed to minimize token cost, help prevent hallucination, and help large language models (LLMs) work reliably with enterprise data. Since launch, Smartsheet saved over 3 billion tokens, based on internal telemetry, through these optimizations.