"A server for finding Google Sheets information and resources" matching MCP servers:

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.

A Model Context Protocol (MCP) connector that allows AI agents to directly interact with Google Sheets, enabling creation, reading, and modification of spreadsheets through natural language.

A read-only MCP server that connects to Google Sheets and lets you query them in plain English, without needing a Google Cloud project.

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

An MCP server that lets AI agents read and write Google Sheets using the Google Sheets API v4.

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

Implements an MCP server that interacts with Google Sheets to store and retrieve prompts and ideas, allowing management of textual content with metadata across spreadsheet tabs.

This read-only MCP Server allows you to connect to Google Sheets 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 AI assistants to access, search, and analyze Google Spreadsheets through the Model Context Protocol. Supports both OAuth 2.0 for private sheets and API key authentication for public sheets, with tools for listing, reading, and searching spreadsheet data.

Enables full CRUD over Google Sheets through a service account, including reading tabs and rows, finding rows by column value, appending, updating, deleting rows, and managing tabs.

This MCP server enables AI assistants to automatically sync Google Sheets data to a local database and perform natural language queries and analysis on spreadsheet data.

Google sheets.

Provides read-only access to Google Sheets data through OAuth 2.0 authentication, enabling users to retrieve spreadsheet metadata, list tabs, and read cell data using natural language queries.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Stores todos in a Google Sheet and exposes CRUD tools for listing, getting, creating, updating, and deleting todo items.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

A read-only MCP server that lets Claude Desktop read bounded data from Google Sheets using the learner's own Google account, offering tools to check connection status, connect, and fetch spreadsheet metadata or specific ranges.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.