Google BigQuery▌
by google
Explore official Google BigQuery MCP servers. Find resources and examples to build context-aware apps in Google's ecosys
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like BigQuery. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
best for
- / Data analysts working with BigQuery warehouses
- / AI agents needing access to enterprise data
- / Business intelligence automation
- / Large-scale data exploration
capabilities
- / Query BigQuery datasets with natural language
- / Execute SQL queries on massive datasets
- / Analyze data warehouse contents
- / Browse table schemas and metadata
- / Generate insights from structured data
what it does
Provides access to Google's BigQuery data warehouse through the Model Context Protocol, allowing AI agents to query and analyze large datasets directly.
about
Google BigQuery is an official MCP server published by google that provides AI assistants with tools and capabilities via the Model Context Protocol. Explore official Google BigQuery MCP servers. Find resources and examples to build context-aware apps in Google's ecosys It is categorized under analytics data.
how to install
You can install Google BigQuery in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
Apache-2.0
Google BigQuery is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
google/mcp
This repository contains a list of Google's official Model Context Protocol (MCP) servers, guidance on how to deploy MCP servers to Google Cloud, and examples to get started.
⚡ Google MCP Servers
Remote MCP servers
These remote MCP servers are managed by Google, and are available via endpoint. This list will be kept up-to-date as more remote servers become available.
- AlloyDB for PostgreSQL
- BigQuery
- Bigtable
- Cloud Resource Manager
- Cloud SQL for MySQL
- Cloud SQL for PostgreSQL
- Cloud SQL for SQL Server
- Compute Engine (GCE)
- Developer Knowledge API (Google Developer Documentation)
- Firestore
- Google Maps (Grounding Lite)
- Google Security Operations (Chronicle)
- Kubernetes Engine (GKE)
- Spanner
Open-source MCP servers
You can run these open-source MCP servers locally, or deploy them to Google Cloud (see below).
- Google Workspace, including Google Docs, Sheets, Slides, Calendar, and Gmail. (Gemini CLI extension)
- Firebase (Gemini CLI extension)
- Cloud Run (Gemini CLI Extension)
- Go
- Google Analytics
- MCP Toolbox for Databases, including BigQuery, Cloud SQL, AlloyDB, Spanner, Firestore, and more.
- Google Cloud Storage
- Genmedia, including Imagen and Veo models.
- Kubernetes Engine (GKE)
- Google Cloud Security, including Security Command Center, Chronicle, and more.
- gcloud CLI
- Google Cloud Observability
- Flutter/Dart
- Google Maps Platform Code Assist toolkit
- Chrome DevTools
💻 Examples
- Launch My Bakery (
/examples/launchmybakery): A sample agent built with Agent Development Kit (ADK) that uses remote MCP servers for Google Maps and BigQuery.
📙 Resources
Run an MCP server in Google Cloud
- Documentation - Host MCP Servers on Cloud Run
- Blog Post - Build and Deploy a Remote MCP Server to Google Cloud Run in Under 10 Minutes
- MCP Toolbox for Databases - Deploy to Cloud Run, Deploy to Google Kubernetes Engine (GKE)
- Blog post - Announcing MCP support for Apigee (Turnkey MCP hosting for Apigee-hosted APIs)
- “Tools Make an Agent” - Blog and Codelab
- Codelab - How to deploy a secure MCP server on Cloud Run
- Codelab - "Agent Verse" - Architecting Multi-agent Systems
🤝 Contributing
We welcome contributions to this repository, including bug reports, feature requests, documentation improvements, and code contributions. Please see our Contributing Guidelines to get started.
📃 License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Disclaimers
This is not an officially supported Google product. This project is intended for demonstration purposes only.
This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.