"google" matching MCP servers:

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

Enables read-only access to GA4 accounts and properties via tools that list properties, fetch settings and metadata, and run standard, realtime, and one-call overview reports. It is stateless and takes a Google access token on every request, letting one deployment serve many accounts behind an auth proxy.

Enables management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.

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.

Google sheets.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

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

Official Google Analytics MCP Server

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.

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

Provides tools and context for interacting with Google Cloud services, enabling natural language management of billing, monitoring, logging, IAM, Spanner, and more.

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.

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 natural language exploration and querying of Google BigQuery datasets through four tools: listing datasets, inspecting table schemas, generating SQL queries with LLM assistance, and executing approved queries.

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.

An experimental MCP server that enables interaction with Google Analytics APIs, allowing users to retrieve account information, run core reports, and access realtime analytics data through natural language queries.

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.

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.

Enables comprehensive Google Ads campaign management and analytics through the Google Ads API. Supports querying campaigns, ad groups, keywords, performance metrics, and executing custom GAQL queries with token-efficient implementation.