BigQuery
Provides secure BigQuery access across multiple Google Cloud projects with advanced analytics and robust security controls.
About
The BigQuery tool offers a secure and efficient way to interact with BigQuery data across various Google Cloud projects. It enables querying with pattern matching for multi-project access and includes advanced analytics features such as column analysis, data quality checks, and schema exploration. Designed with security in mind, it incorporates SQL validation, query limits, and read-only operations. The server supports flexible deployment via CLI configuration and Docker, making it suitable for integration with AI development environments like Claude Desktop and Cursor IDE.
Key Features
- Docker Support for containerized deployment
- Multi-Project Access with pattern matching
- Security Controls (SQL validation, query limits, read-only operations)
- Advanced Analytics (column analysis, data quality checks)
- CLI and Config File Configuration
- 1 GitHub stars
Use Cases
- Integrating secure BigQuery access into AI development environments such as Claude Desktop and Cursor IDE.
- Performing advanced data analysis and quality checks across multiple BigQuery projects.
- Managing and querying BigQuery datasets with enforced security policies and operational limits.
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