MCP.directory
Google BigQuery

Google BigQuery

Official
google

Provides access to Google's BigQuery data warehouse through the Model Context Protocol, allowing AI agents to query and analyze large datasets directly.

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.

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analytics data
GitHubWebsite

What it does

  • 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

Best for

Data analysts working with BigQuery warehousesAI agents needing access to enterprise dataBusiness intelligence automationLarge-scale data exploration
Remote — Google-managed serviceNo local setup requiredEnterprise-scale data processing

About Google BigQuery

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

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.

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.

Open-source MCP servers

You can run these open-source MCP servers locally, or deploy them to Google Cloud (see below).

💻 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

🤝 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.

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