"Working with Excel" matching MCP servers:

Excel tools for AI agents: read/write, decompile to F#/C#/XML/JSON, or build from XML/JSON.

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.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models.

Generates formatted Excel (.xlsx) files from user requests and deposits them into Cleyrop project data.

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.

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

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.

Provides local persistent working memory for AI agents, allowing them to load rules, preferences, and project state before tasks and save validated experiences after successful completion. Works with stdio MCP clients via a local JSON file.

Enables reading and writing Excel workbooks (.xlsx) through MCP. Supports listing sheets, tables, pivot tables, reading cell data, exporting to CSV/text/Markdown, and creating/modifying Excel files.

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.

MCP server for reading and inspecting local Excel files (.xlsx, .xlsm, .xls, .xlsb, .ods) with tools for inspecting metadata, reading ranges, and profiling structure.

Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.

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

Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.

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

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

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 Excel automation via natural language, providing session-based workbook management, data manipulation, formulas, charts, and formatting through the Model Context Protocol.

Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.