BigQuery MCP Bridge
The official MCP bridge for Google BigQuery, enabling petabyte-scale analytics and integration with other MCP servers for advanced querying and automation.
About this tool
BigQuery MCP Bridge
Category: database-messaging-mcp-servers
Source: GitHub Repository
Description
BigQuery MCP Bridge is an official Model Context Protocol (MCP) server that provides access to Google BigQuery functionality. It enables petabyte-scale analytics and allows integration with other MCP servers for advanced querying and automation. The bridge is fully compliant with the MCP specification (rev 2025-03-26) and is designed to be used by LLM agents and other MCP clients.
Features
- Full implementation of the Model Context Protocol for server-client communication
- Surfaces all Google BigQuery operations as MCP tools, enabling advanced analytics
- Allows integration with other MCP servers for automation and advanced querying
- Supports multiple deployment methods:
- Command line
- Python API
- Docker
- Docker Compose
- Authentication via Google Cloud credentials
- Optional resource exposure via
--expose-resourcesflag - Compatible with Claude Desktop for LLM agent access
Installation & Usage
- Can be run directly, via Docker, or with docker-compose
- Authentication setup required using Google Cloud credentials
- Can be integrated into workflows using the command line, Python API, or as part of a larger MCP network
Licensing
- MIT License
Tags
mcp bigquery database integration
Pricing
No pricing information is provided; the project is open source under the MIT license.
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