"Tools and methods for analyzing Google Sheets data" matching MCP servers:

MCP server for Google Sheets - read, write, and query spreadsheet data.

An MCP server providing read/write access to Google Spreadsheets through a set of tools for managing sheets, rows, columns, and data.

A local MCP server that lets AI assistants read and write Google Sheets directly with per-user OAuth, supporting tabs, ranges, rows, and filtered lookups.

Enables professional Google Sheets management with 40+ tools for sheet operations, formatting, charts, and enterprise features.

Enables AI agents to create, read, update, and manage Google Sheets data and structure using tools like create, listSheets, sheetData, updateCells, and shareSpreadsheet, supporting OAuth2 and service-account authentication.

Enables AI assistants to read, write, and manage Google Sheets spreadsheets through natural language commands, providing a bridge between MCP clients and the Google Sheets API.

Enables agents to create, read, and modify Google Sheets using a service account, without OAuth. Provides tools for sheet creation, appending rows, updating ranges, and reading data.

An MCP server that lets Claude read, edit, and format Google Sheets in place, including cell updates, formula filling, row/column operations, and find & replace.

Enables AI agents to read, write, format, and manage Google Sheets spreadsheets using their own Google account via OAuth 2.0, including tabs, formatting, data validation, and batch updates.

Enables AI apps to work with Google Sheets in plain language: finding spreadsheets, reading and writing ranges, managing sheets, formatting, validation, protected ranges, tables, charts, and access control, with deliberate writes and destructive operations clearly marked.

MCP server for managing Google Sheets via 23 tools, enabling read/write, formatting, sheet management, and data operations through natural language.

Provides full programmatic access to Google Sheets, enabling CRUD operations, permission management, formatting, and spreadsheet discovery through a standardized MCP interface.

Exposes Google Sheets as queryable database tables with operations to list sheets, get schemas, and fetch rows with pagination. Designed to run as a Google Cloud Function with service account authentication.

Enables reading, writing, and managing Google Sheets from Claude and any MCP-compatible AI client through tools like append_row, update_range, and batch updates.

Enables reading and writing Google Sheets, with server-side filtering and update-by-query, supporting credential-less reads for link-shared sheets and service-account writes.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables AI assistants to fully control Google Sheets, including charts, pivot tables, formulas, formatting, and analytics, beyond basic read/write operations.

Enables creating and reading Google Sheets in your personal Drive using OAuth authentication. Files are owned by you, not a service account.

Local Model Context Protocol server for reading and writing Google Sheets through Google Sheets API v4.

A local Google Sheets MCP server built for agent workflows in Claude Code and Claude Desktop: write API, script and file output into sheets, combine spreadsheets, refresh them on a schedule, across multiple Google accounts. Undo and formula-error checks on every write.