Smartsheet has built a remote Model Context Protocol (MCP) server on AWS to enable direct AI access to its data. This development allows AI agents to interact with Smartsheet's capabilities, enhancing workflow efficiency for enterprise users.
Smartsheet developed a remote Model Context Protocol (MCP) server on AWS to facilitate structured access for AI agents. As enterprises integrate AI, there is a growing need for systems like Smartsheet to accommodate AI-driven interactions with project data.
The MCP server allows AI assistants, such as Amazon Quick and Claude Desktop, to perform tasks like updating tasks and managing workspaces through natural language. Enterprises are also creating custom AI agents that can autonomously carry out workflows such as capturing requirements and managing documentation in Smartsheet.
The MCP server connects to Smartsheet’s existing APIs and enhances them with an AI-optimized interface. This innovative design not only reduces token costs but also ensures reliable interactions between large language models (LLMs) and Smartsheet's data. Since the implementation, Smartsheet has reported saving over 3 billion tokens, significantly lowering operational overhead.
The MCP architecture is designed to serve both internal and external AI agents, like Smart Assist and Amazon Quick, on a unified infrastructure. Key AWS services supporting this architecture include AWS Fargate for container management, Amazon Kinesis for data streaming, and Amazon Bedrock for LLM inference. This allows Smartsheet to build once while benefiting all agent clients immediately.
The introduction of the MCP server marks a significant advancement for Smartsheet as it adapts to the increasing demand for AI integration in enterprise environments. By optimizing access to its platform, Smartsheet enhances its value proposition, particularly for organizations looking to automate and improve project management workflows.
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Smartsheet has built a remote Model Context Protocol (MCP) server on AWS to enable direct AI access to its data. This development allows AI agents to interact with Smartsheet's capabilities, enhancing workflow efficiency for enterprise users.