"Excel spreadsheet tools and resources" matching MCP servers:

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

A stateful MCP server for agent-based Excel workbook interaction, enabling safe reading, mutation, recalculation, verification, and automation of spreadsheets via deterministic JSON contracts.

Provides a Model Context Protocol (MCP) server that enables LLMs to directly access and interact with Google Spreadsheet data.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

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

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.

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.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

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 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 create, read, and modify Excel workbooks without requiring Microsoft Excel, supporting operations like formulas, charts, pivot tables, formatting, and data validation.

MCP server enabling AI agents to read, write, and manage Google Sheets, including sheet manipulation, row/column operations, dropdowns, checkboxes, and conditional formatting.

This MCP server enables AI assistants to interact with a SQLite database through a spreadsheet-like interface, supporting operations such as querying, editing, importing Excel/CSV, and managing table structures via natural language.

Enables querying Excel and CSV files using SQL via natural language, allowing AI assistants to analyze data without manual SQL writing.

Provides full read and write access to Excel workbooks (sheets, cell ranges, tables, formulas, formatting, and cross-workbook references) via MCP, running locally or as an HTTP/SSE service.

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.

Enables AI assistants to read, write, and manipulate Excel files through comprehensive spreadsheet operations. Supports file management, data querying, worksheet operations, formula calculations, and includes security features like path validation and automatic backups.