"A guide for data cleaning and analysis in Excel" matching MCP servers:

Enables AI assistants to read and write local Excel and CSV files, supporting editing, styling, and image insertion.

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.

Enables local Excel workbooks to be read, modified, recalculated, and verified with screenshots through a single operation pipeline, automatically choosing openpyxl or Excel COM.

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.

Enables MCP clients to create and manipulate Excel workbooks programmatically, including sheets, cell data, formatting, formulas, charts, and pivot tables.

Enables AI agents to analyze Excel files through atomic operations like filtering, aggregation, and grouping without loading raw data into context.

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 reading and editing Excel workbooks stored on SharePoint, OneDrive or Teams through Microsoft Graph without a browser, with every write starting as a dry run, checked against the version you read, and verified by reading the cells back. Includes device-code sign-in, workbook aliases, range filling, and dependency-free operation on Node 18+.

Enables AI assistants to perform Excel file operations (create, read, write, format) without requiring Microsoft Excel installation.

Enables LLMs to work with Excel and CSV files through structured tools for workbook operations, formatting, charts, ETL, analysis, and more.

Enables AI assistants to read, write, format, and analyze Excel files with 34 tools, including real-time editing on macOS with Microsoft Excel.

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 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 AI agents to read, write, analyze, and transform Excel spreadsheets (.xlsx) through the Model Context Protocol.

Enables manipulation of Excel files including creating, reading, writing data, formatting, charts, pivot tables, and worksheet management via natural language.

Enables reading and writing Excel files (text, formulas, and images on Windows) via MCP tools with pagination support.

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.

Enables AI agents to create, read, and manipulate Excel workbooks without Microsoft Excel installed, supporting formulas, formatting, charts, pivot tables, and data validation operations.

Enables reading and writing MS Excel data, including values, formulas, sheets, tables, and cell formatting, with optional screen capture on Windows.

Enables AI agents to create, read, and manipulate Excel files without requiring Microsoft Excel installation. Supports comprehensive spreadsheet operations including formulas, formatting, charts, pivot tables, and data validation.