BigQuery
Securely query and analyze Google BigQuery datasets via natural language.
What it does
Securely query and analyze Google BigQuery datasets via natural language.
This BigQuery MCP server, developed by Salih Ergüt, provides a secure interface for language models to interact with Google BigQuery datasets. It enables AI agents to explore schemas, run SQL queries, and analyze data within configurable limits. The server integrates seamlessly with Claude Desktop, offering a natural language interface to BigQuery's powerful data warehousing capabilities. By focusing on read-only access and built-in safety constraints, it allows AI systems to generate insights from large datasets while maintaining data security. This implementation is particularly useful for AI assistants designed to perform ad-hoc data analysis, generate business intelligence reports, or provide data-driven recommendations using BigQuery as the backend.
Capabilities
Server
Quality
deterministic score 0.80 from registry signals: · indexed on pulsemcp · has source repo · 138 github stars · registry-generated description present