"Excel Spreadsheet Software or Related Resources" matching MCP servers:

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

Data-first MCP server for reading and writing spreadsheets (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

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

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 MCP agents to read messy lab and instrument spreadsheet exports by detecting headers, cleaning table bounds, parsing decimal commas, preserving LOD/LOQ qualifiers, and returning JSON rows with column metadata.

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.

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.

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

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 Claude to open, filter, search, summarize, and write local .xlsx, .xlsm, .xls, and .csv spreadsheets through ten tools, all running locally with no Microsoft Office installed. Access is sandboxed to folders you allow, with an optional read-only mode and an audit log of every file operation.

Enables MCP clients to read, create, update, and summarize .xlsx spreadsheets in an isolated directory, with resources for catalog and metadata, tools for range reading, row appending, cell updates, and numeric summaries, plus a reusable sales-analysis prompt.

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.

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 managing Excel files in Microsoft 365 (OneDrive/SharePoint) through Microsoft Graph API, including creating workbooks, adding worksheets, creating tables, and reading or adding table rows via MCP tools.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.