About
A Model Context Protocol server that lets AI agents search, retrieve, and modify Smartsheet sheets. It exposes tools for sheet inspection, row updates, backups, and cell history in a format optimized for conversational AI.
Capabilities

The Smartsheet MCP Server bridges the gap between AI assistants and the rich functionality of the Smartsheet platform. By exposing a set of well‑defined MCP tools, it lets an AI model query, modify, and version control spreadsheets without the need for custom API wrappers. This is especially valuable for developers building conversational agents that must read data, update records, or track changes in real time—tasks that are cumbersome to implement with raw HTTP requests.
At its core, the server offers a clean abstraction layer: each MCP tool corresponds to a specific Smartsheet API endpoint. The tool returns the full state of a sheet, including rows, columns, and cell values, while lets the assistant check a sheet’s revision number. For auditability, exposes the change log of individual cells, enabling a model to answer questions like “When was this value last updated?” The write side is equally robust: and allow bulk modifications, and conditional deletion is available through when the environment permits.
These capabilities are packaged in a straightforward JSON schema that is instantly consumable by any MCP‑capable client. The server formats responses in a way that preserves type information and includes helpful metadata, making it easier for the assistant to reason about the data without additional parsing logic. The design also incorporates safety considerations: sensitive API tokens are loaded via environment variables, and destructive actions can be toggled with a flag to mitigate accidental data loss.
Typical use cases include building an AI‑powered project tracker that can pull the latest status from a Smartsheet dashboard, automatically update task assignments based on user input, or generate summary reports that reflect the most recent sheet revisions. In customer support scenarios, an assistant can retrieve and update ticket records stored in Smartsheet, providing instant, context‑aware responses. The versioning features enable rollback or comparison of sheet states, which is critical for compliance and audit workflows.
Integration into existing AI pipelines is seamless: an MCP client can register the Smartsheet server as a tool source, then invoke any of the exposed actions directly from prompts. Because the server communicates over standard I/O or HTTP, it can run as a standalone microservice or be embedded within a larger orchestration framework. Its lightweight Node.js implementation and clear environment configuration make it easy to deploy in CI/CD pipelines or containerized environments, ensuring that developers can focus on building conversational logic rather than managing API intricacies.
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