"Google BigQuery" matching MCP servers:

Validates BigQuery SQL syntax and performs dry-run analysis without executing queries, providing cost estimates, referenced tables, and schema previews.

An MCP server for BigQuery that lets Claude answer questions about your search and analytics data, providing real analysis with verdicts and recommendations, not just raw query results.

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

A Model Context Protocol server that enables LLMs to understand BigQuery dataset structures and execute SQL queries.

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.

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

Enables LLMs to explore BigQuery datasets and tables, run safe read-only queries, and optionally perform vector search using BigQuery embeddings.

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 AI assistants to query trusted BigQuery analytics using curated Business Intelligence tools, providing secure, accurate business metrics and KPIs through natural language.

Enables LLMs to interact with Google BigQuery by inspecting database schemas, listing tables, and executing SQL queries. This server facilitates seamless data analysis and management through natural language via the Model Context Protocol.

A BigQuery MCP server with mandatory cost guardrails that dry-run every query before execution, and a measurable accuracy badge from an eval harness.

Enables AI coding assistants to invoke any Google Cloud REST API endpoint — Compute Engine, Cloud Storage, BigQuery, Vertex AI, Cloud Run and more — through one universal tool that accepts a URL, HTTP method, query parameters, and JSON body. It handles Google OAuth sign-in with locally stored credentials and supports multiple accounts via environment variables.

Enables read-only access to Google BigQuery, allowing users to list tables, inspect metadata, and run SELECT queries with enforced row and byte limits.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

A Model Context Protocol (MCP) server that enables LLMs to interact with Google BigQuery.

MCP server for secure BigQuery access across multiple Google Cloud projects, enabling querying, schema exploration, and data analysis with SQL validation and read-only controls.

Enables AI assistants to query and analyze Google BigQuery data, including schema browsing, running queries, and comparing datasets through natural language.

Enables AI assistants to query BigQuery read-only via MCP with enforced dataset boundaries, result limits, and audit labels.

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.

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