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Query and explore BigQuery databases with natural language and schema discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "BigQuery MCP" yet — see the docs or source repo.
Connect to BigQuery and inspect the schema of the orders table in the sales dataset of project my-project. Explain each field and data type in English.
A list of fields in the orders table, their data types, and a brief explanation of each field's purpose.
Generate BigQuery SQL to calculate daily order count, total sales, and average order value for the last 30 days, sorted by date ascending, and explain the query logic.
Executable BigQuery SQL plus an explanation of metric calculations and filtering conditions.
Query the last 8 weeks of weekly sales data in BigQuery, identify weeks with significant sales drops, and investigate whether the change was driven by order volume, region, or product category.
A list of anomalous weeks, supporting comparison query results, and an initial analysis of likely causes.
Query, analyze, and compare Google BigQuery data using natural language.
Connect to BigQuery so AI can inspect schemas and run queries.
Analyze BigQuery search and analytics data with conclusions and actionable recommendations.
Connect LLMs to Google BigQuery for querying and data analysis tasks.
Query BigQuery in natural language with schema exploration and history tracking.
Securely query and analyze multiple databases with natural language across systems.