Enables MCP clients to create and manipulate Excel workbooks programmatically, including sheets, cell data, formatting, formulas, charts, and pivot tables.
Enables normalizing arbitrary Excel spreadsheets with varied headers into 19 canonical fields and clean JSON, with optional LLM disambiguation and offline fallback. Exposes MCP tools for use in Claude, Cursor, and Windsurf.
Enables AI agents to read and query Excel files stored in SharePoint and OneDrive for Business, converting permission-matrix spreadsheets into structured JSON for automated QA workflows.
Enables AI assistants to perform comprehensive Microsoft Excel operations including data analysis, cell editing, advanced formatting, and VBA execution on Windows systems. It provides a structured workflow for managing workbooks and worksheets through a dedicated Model Context Protocol interface.
Attaches to already-open Excel workbooks on Windows via COM to enable live editing of cells, ranges, formatting, and comments, without launching or closing Excel itself.
Live Excel MCP server for macOS that interacts with running Excel instances in real time via AppleScript, enabling instant read/write, formula support, and VBA macro execution.
Enables AI clients to read, write, and manage Excel workbooks (.xlsx/.xlsm) directly via openpyxl, with comprehensive tools for data, formatting, formulas, charts, and more.
An MCP server for safe .xlsx inspection and controlled workbook writes, enabling spreadsheet reads, search, filtering, aggregation, and preview-based writes with workspace confinement and audit logging.
MCP server for reading Excel files (.xlsx, .xls) without requiring an API key. It returns row/column counts, column names, and a preview of the first five rows via the read_excel tool.
Enables AI assistants to automate Microsoft Excel tasks such as reading/writing cells, formatting, creating charts, and managing sheets through natural language using the Model Context Protocol.
Enables local Excel workbooks to be read, modified, recalculated, and verified with screenshots through a single operation pipeline, automatically choosing openpyxl or Excel COM.
Enables AI assistants to create, read, write, and manipulate Excel files (.xlsx, .xlsm) without requiring Microsoft Excel, including support for charts, pivot tables, data import/export, and professional formatting across Windows, macOS, and Linux.
Enables manipulation of Excel files including creating, reading, writing data, formatting, charts, pivot tables, and worksheet management via natural language.
Local MCP server that connects Claude to real Excel .xlsx files for financial and operational analysis. Enables reading, comparing, cleaning, reconciling, and writing to Excel files without cloud dependency.
A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent.
Control Excel with Natural Language through AI assistants like GitHub Copilot, Claude, and ChatGPT. This MCP server enables AI-powered Excel automation for Power Query, DAX measures, VBA macros, PivotTables, and more.
Enables AI agents to create, read, and modify Excel workbooks without requiring Microsoft Excel, supporting operations like formulas, charts, pivot tables, formatting, and data validation.
Enables AI agents to operate Excel files through standardized MCP interfaces, including merging, splitting by column, and exporting multi-sheet workbooks.
Enables reading and writing of values, formulas, and formatting in Microsoft Excel files including .xlsx and .xlsm formats. It supports sheet management, table creation, and provides Windows-exclusive features like live editing and screen capture.