"Exploring Excel: Tools, Features, and Resources" matching MCP servers:

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

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Provides Excel file manipulation capabilities. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.

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.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

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 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.

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.

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

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 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.

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.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.