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by atamaplus-public • Data & Databases
An MCP server that lets AI assistants execute read-only BigQuery queries, list datasets and tables, and inspect table schemas via natural language.
Answer questions using up-to-date BigQuery data by translating natural language into read-only SQL queries.
Explore dataset and table inventories and inspect table schemas to discover relevant data sources.
Run ad-hoc, controlled analytics on BigQuery with enforced read-only access and default query limits.
This server exposes BigQuery as a Model Context Protocol (MCP) backend so agents (like Claude) can directly query and explore BigQuery datasets. It supports executing SQL (read-only), listing datasets and tables, and returning table schemas, with built-in safeguards such as read-only enforcement and query processing limits. Designed for local deployment, it requires Google Cloud credentials and a project/location configuration and is useful for integrating BigQuery data into AI assistant workflows.
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