"How to use Google Search" matching MCP servers:

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

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

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.

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 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.

Enables LLMs to interact with the Google Ads API through the Model Context Protocol, allowing natural language queries for campaign management and metrics.

Enables LLMs to query Google Ads accounts, search for information, and list accessible customers.

A GCP-hosted MCP server for Google Analytics GA4 where each user logs in with their own Google account and queries are scoped to that user's permissions.

Enables LLMs to interact with the Google Ads API to retrieve account information, list accessible customers, and query campaign performance. It allows users to manage and analyze Google Ads data through natural language interfaces.

A tool for manipulating Google Spreadsheet and Google Drive using MCP (Metoro Control Protocol).

Enables deployment of a Model Context Protocol server with SSE transport on Google Cloud Run for integration with Antigravity.

A remote MCP server for Google Chat, deployed on Cloudflare Workers without authentication, enabling tool execution via MCP protocol.

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

A remote MCP server with Google OAuth authentication, deployable to Cloudflare Workers, that provides tools accessible after signing in with Google.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.

A Model Context Protocol (MCP) server for the Atlassian Goals API. Enables AI assistants like Claude to query, search, and update Atlassian Goals and Projects.

Enables AI assistants to perform Google Workspace administrative actions via GAM7, managing users, groups, calendar, Drive, and more.

Lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things on your Cloudflare account.

Enables safe read-only access to allowlisted Google Cloud BigQuery tables with schema inspection, keyword search, cost estimation, and strict FinOps guardrails. It supports cross-project billing and limits queries by byte caps and row limits.

Generates, reviews, and imports cloud architecture diagrams for AWS, Azure, and Google Cloud from editable specs, Terraform, or live Google Cloud inventory, rendering them as PNG, SVG, PDF, or JPG.

A governed, read-only MCP server for ad inventory discovery from Google Ad Manager, exposing three tools (well_known_capabilities, discover_products, get_forecast) to buyer-side agents without modifying or accessing the ad server.

MCP server for Google Cloud Support API v2. Provides tools for managing Google Cloud support cases through AI assistants.

Enables MCP-compatible AI agents to deploy and manage applications on Google Cloud Run, including service deployment, listing, logging, and project creation.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

Enables AI coding agents to deploy and iterate on live web previews, inspect diffs, manage versions and access controls, and authenticate via Google through local or remote MCP transports.

Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.

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.

Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.

An MCP server that enables AI assistants to interact with ServiceNow instances, allowing script execution, data querying, ATF tests, and log tailing through natural language commands.

An MCP server that enables interaction with Google Firestore in Datastore mode for entity management and querying. It provides tools for CRUD operations, aggregation queries, and transaction execution within Google Cloud projects.

Enables AI agents to spin up disposable Tenki microVM sandboxes in seconds and use them to run code, manage files, run git commands, and expose preview URLs.

Exposes a curated set of Google Workspace CLI operations as tools for managing Drive, Sheets, Calendar, Docs, and Gmail. It provides a focused set of high-value operations to avoid context window bloat while enabling file management, spreadsheet updates, and email interactions.

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.

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

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

Enables AI agents to interact with Google BigQuery databases through natural language queries and schema exploration.