What is the core security benefit of the BigQuery Database Interface?

It achieves 100% keyless authentication using Workload Identity Federation, eliminating service account keys and significantly reducing your attack surface for BigQuery access.

Are there compliance features for BigQuery data management?

Yes, it supports Customer-Managed Encryption Keys (CMEK) for BigQuery datasets and provides comprehensive audit logging with a 7-year retention period to meet strict compliance requirements.

What kind of security middleware does the MCP server provide?

The MCP server includes advanced security middleware such as rate limiting, real-time prompt injection detection, and sensitive data redaction to protect your BigQuery interactions.

How does this tool integrate with existing identity systems?

It offers seamless integration with Google Workspace for OIDC user authentication, allowing your enterprise users to access BigQuery securely via familiar credentials.

BigQuery Database Interface

Name: BigQuery Database Interface
Author: erayguner

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Provides a secure, enterprise-grade Model Context Protocol (MCP) server for Google Cloud BigQuery, leveraging Workload Identity Federation for keyless authentication.

This tool functions as an enterprise-grade Model Context Protocol (MCP) server designed specifically for Google Cloud Platform BigQuery, offering robust and secure data interaction. It stands out by implementing 100% Workload Identity Federation, eliminating the need for service account keys and significantly reducing the attack surface. Beyond its enhanced security, it provides comprehensive features like Google Workspace integration for OIDC user authentication, customer-managed encryption (CMEK), detailed audit logging, and full infrastructure-as-code deployment via Terraform, ensuring a highly compliant, scalable, and observable BigQuery management solution.

主な機能

01MCP Protocol Compliant with security middleware (rate limiting, prompt injection detection, data redaction)

02Google Workspace Integration for OIDC user authentication

03Zero Service Account Keys with 100% Workload Identity Federation

04Comprehensive Audit Logging with 7-year retention for compliance

050 GitHub stars

06Customer-Managed Encryption Keys (CMEK) for BigQuery datasets

ユースケース

01Securely executing SQL queries and managing BigQuery datasets without credential leakage risk.

02Programmatic discovery and inspection of BigQuery datasets, tables, and schemas.

03Integrating auditable and compliant BigQuery data access into enterprise AI/ML or data applications via MCP.