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by haris-musa • Visualization & Charts
A Model Context Protocol (MCP) server that lets agents create, read, and modify Excel workbooks without Microsoft Excel installed.
Create, update, or read Excel workbooks programmatically without relying on a local Microsoft Excel installation.
Generate charts, pivot tables, and formatted reports from data and save them as .xlsx files for downstream consumption.
Remote access to Excel file operations via streamable HTTP or local access via stdio transport, with configurable server-side file storage.
This MCP server provides a comprehensive API for manipulating Excel files programmatically, including worksheets, formulas, formatting, tables, charts, and pivot tables. It works locally or as a remote service and supports multiple transports (stdio, SSE (deprecated), and streamable HTTP). The server can run without Excel installed on the host and exposes file path configuration for remote deployments. It is distributed under the MIT license and available as a Python package.
Apply Excel formula to cell. Excel formula will write to cell with verification.
Validate Excel formula syntax without applying it.
Apply formatting to a range of cells.
Read data from Excel worksheet with cell metadata including validation rules. Args: filepath: Path to Excel file sheet_name: Name of worksheet start_cell: Starting cell (default A1) end_cell: Ending cell (optional, auto-expands if not provided) preview_only: Whether to return preview only Returns: JSON string containing structured cell data with validation metadata. Each cell includes: address, value, row, column, and validation info (if any).
Write data to Excel worksheet. Excel formula will write to cell without any verification. PARAMETERS: filepath: Path to Excel file sheet_name: Name of worksheet to write to data: List of lists containing data to write to the worksheet, sublists are assumed to be rows start_cell: Cell to start writing to, default is "A1"
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