"Google BigQuery" matching MCP servers:

Provides an interface to access Google Analytics Data API through Model Context Protocol (MCP), allowing users to retrieve reports and realtime data from Google Analytics 4 properties.

Enables secure access to BigQuery datasets with intelligent query result caching, schema evolution tracking, and AI-powered query optimization recommendations through Supabase integration.

Provides GraphQL access to Airtable and Google Sheets data, enabling natural language queries for data exploration, schema introspection, and record management.

Enables unified querying of GA4, Cloudflare Web Analytics, Vercel Analytics, and Google Search Console through a single MCP interface, with cross-tracker comparisons and discrepancy reporting.

A generic MCP server for querying Emma-app transaction exports stored in Google Sheets, supporting filters, summaries, and metadata via CSV fetching.

Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.

Enables comprehensive integration with Google Analytics 4, allowing users to read analytics reports and send custom events through both the Data API and Measurement Protocol v2.

Enables MCP clients to directly access Google Analytics 4 data, including property metadata, custom dimensions and metrics, reports, real-time reporting, annotations, and Google Ads links.

MCP server for Google Sheets - Read, write and manipulate spreadsheets through Claude Desktop

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

Read-only MCP tools for TROCCO API, enabling workflow and BigQuery datamart audit information retrieval.

A Model Context Protocol server that enables searching Google Patents information via the SerpApi Google Patents API, allowing users to query patent data with various filters and sorting options.

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

Provides access to Outscraper's data extraction services for business intelligence, location data, and reviews across platforms like Google Maps, Amazon, and Yelp. It enables AI assistants to perform comprehensive web scraping tasks including contact information retrieval and geolocation services.

Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.

Transforms AI assistants into data analysts by enabling CSV and Google Sheets import, SQL querying, and instant insights through natural language.

MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.

Universal Database MCP Server enabling AI assistants to connect and query multiple databases including Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB through a unified interface.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.