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Retrieve BigQuery metadata and run secure SQL with cost controls and export.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bq_mcp_server" yet — see the docs or source repo.
Connect to BigQuery, list all tables in the dataset named sales, and show the field names, types, and descriptions for the orders table.
Returns the table list in the sales dataset and the detailed schema for the orders table.
Run a SQL query to calculate daily order counts and revenue for the last 30 days; first check the estimated scan cost, and if it exceeds the limit, ask me to optimize before executing.
Provides cost-controlled query results with daily order counts and revenue, or shows a limit warning and optimization suggestions.
Search BigQuery metadata for tables and columns related to customer_id and email, rank the results by relevance, and make them exportable to a file.
Returns matched tables and columns, ranked by relevance, with an optional export file.
Securely query and analyze BigQuery data through a read-only AI interface.
Turn natural language into secure BigQuery queries for apps and analytics.
Analyze BigQuery search and analytics data with conclusions and actionable recommendations.
Connect to BigQuery so AI can inspect schemas and run queries.
Explore BigQuery data and run safe read-only queries with LLMs.
Query and explore BigQuery databases with natural language and schema discovery.