"How to add data to Google Sheets" matching MCP servers:

A Python-based MCP server that acts as a bridge between MCP-compatible clients and the Google Sheets API, enabling AI-driven automation and data manipulation workflows.

Your AI Assistant's Gateway to Google Sheets! 25 powerful tools for seamless Google Sheets automation via MCP

A local MCP server for creating, reading, and updating Google Sheets.

MCP server for Google Sheets integration that enables AI assistants to read, write, and manage Google Spreadsheets.

Enables AI assistants to interact with Google Sheets via natural language, supporting CRUD operations, listing, sharing, and batch updates.

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

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.

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 Claude to read, write, append, and clear data in Google Sheets directly using a Google Cloud Service Account. It provides tools for real-time spreadsheet interaction, including fetching sheet metadata and managing cell ranges through simple commands.

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.

A comprehensive Google Sheets MCP server offering 26 tools for read/write, structural updates, Drive search, and an escape hatch for executing arbitrary Node.js code with pre-authenticated Sheets and Drive clients.

Wraps the Google Sheets API for reading, appending, updating ranges and adding dropdowns, with an optional Gmail monitor to automate job application tracking.

Bridges AI assistants with Google Sheets for reading, writing, and managing spreadsheet data.

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

Enables AI agents to seamlessly interact with Google Sheets through secure OAuth 2.0 authentication. Supports reading, searching, updating spreadsheet data, and managing sheets with smart text replacement and batch operations.

Enables Claude to read, write, append, create, and clear Google Sheets data using natural language.

A Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.

Enables interaction with Google Spreadsheets through the Model Context Protocol. Supports reading, writing, appending rows, creating sheets, and retrieving spreadsheet information with Google Cloud service account authentication.

Provisions Google Analytics 4 for local AI/web projects by creating properties and web data streams, injecting gtag snippets, and saving configuration.

Google Workspace MCP Server

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

This read-only MCP Server allows you to connect to Azure Data Lake Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

A comprehensive integration providing 114 tools to manage Google Drive, Docs, Sheets, Slides, Gmail, Calendar, and more through the Model Context Protocol. It enables seamless interaction with the full Google Workspace suite for file management, communication, and scheduling directly within Claude.

Enables AI agents to interact directly with Google Sheets to create, read, and edit spreadsheets through the Model Context Protocol. It supports a wide range of actions including cell manipulation, row and column management, and sheet organization.

A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to MCP Clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.

Exposes a single universal tool that lets AI assistants call any Google REST API endpoint — Google Cloud (Compute, BigQuery, Storage, Vertex AI), Analytics 4, Tag Manager, Search Console, and Sheets — via full URL, HTTP method, query params, and JSON payload. Supports OAuth desktop sign-in with local or environment-variable credentials for multi-account use.

Enables AI assistants to control Google Workspace services (Slides, Sheets, Drive) through natural language.

A powerful Model Context Protocol (MCP) server that provides comprehensive Google Analytics 4 (GA4), Google Search Console (GSC), and Google Merchant Center (GMC) integration for Claude Desktop and other MCP clients.