About
An open‑source Model Context Protocol server that lets AI agents create, read, update and format Excel workbooks—supporting formulas, charts, pivot tables, and more—all without installing Microsoft Excel.
Capabilities

The Excel MCP Server bridges the gap between AI assistants and spreadsheet data by providing a fully‑featured, no‑Excel‑required interface for manipulating Excel workbooks. Developers can now let their agents create, read, and update sheets as if they were working inside Microsoft Excel, but entirely through a lightweight protocol that runs locally or remotely. This eliminates the need for Office installations on every machine, simplifies CI/CD pipelines, and opens spreadsheet automation to cloud‑native workflows.
At its core, the server exposes a rich set of Excel operations: creating workbooks and worksheets, applying formulas, formatting cells, generating charts and pivot tables, and managing Excel tables. Each action is available as a dedicated tool that the AI can invoke with a simple JSON payload, allowing agents to perform complex data transformations without writing any Python code. The tools support conditional formatting, border styling, font adjustments, and more, giving developers fine‑grained control over the look and feel of their spreadsheets.
The server’s transport flexibility is a standout feature. It can run in three modes: stdio for quick local scripts, deprecated SSE for event‑driven scenarios, and the recommended streamable HTTP for scalable remote deployments. When operating over HTTP or SSE, a single environment variable () defines the shared directory for all file operations, while lets teams choose a custom listening port. In stdio mode the client supplies the file path with each call, making it ideal for one‑off tasks or testing.
Real‑world use cases abound. Finance teams can automate report generation, data analysts can transform raw CSVs into polished dashboards, and developers building chatbot interfaces can let users edit spreadsheets on the fly without leaving the chat. In CI pipelines, automated tests can validate data integrity by reading back results from generated workbooks. Because the server is language‑agnostic, any AI platform that supports MCP—Claude, GPT‑4o, or custom agents—can tap into Excel’s full feature set with minimal overhead.
In summary, the Excel MCP Server delivers a robust, transport‑agnostic bridge to spreadsheet functionality, empowering AI assistants with the same power that traditional Excel users enjoy. Its comprehensive toolset, flexible deployment options, and seamless integration into existing MCP workflows make it a valuable addition to any developer’s AI‑centric toolkit.
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