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Connect to BigQuery so AI can inspect schemas and run queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "BigQuery MCP server" yet — see the docs or source repo.
Connect to BigQuery, list all tables in the sales_analytics dataset, and summarize each table’s fields, types, and purpose.
A list of tables in the dataset plus a structured schema summary for each table.
Query BigQuery for weekly order count, revenue, and average order value over the past 90 days, and return the results by week.
Generated SQL and weekly aggregated results suitable for business analysis.
First inspect the relationships among user, order, and product tables in BigQuery, then write SQL to calculate repeat purchase rate and explain the logic.
An explanation of table relationships, executable SQL, and a written description of the repeat purchase rate logic.
Connect LLMs to Google BigQuery for querying and data analysis tasks.
Securely query and analyze BigQuery data through a read-only AI interface.
Analyze BigQuery search and analytics data with conclusions and actionable recommendations.
Explore BigQuery data and run safe read-only queries with LLMs.
Turn natural language into secure BigQuery queries for apps and analytics.
Retrieve BigQuery metadata and run secure SQL with cost controls and export.