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Turn natural language into secure BigQuery queries for apps and analytics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP BigQuery Server" yet — see the docs or source repo.
Convert this request to BigQuery SQL and run it: Find the top 10 products by sales in each region over the last 90 days, returning product name, region, revenue, and period-over-period change.
A runnable SQL query, result table, and notes on filters or field mappings if needed.
Create a secure BigQuery query request for a Power BI scenario: summarize new users and retention rate by month for the last 12 months, restricted to the analytics dataset only.
A dataset-restricted query plan, SQL, and result schema suitable for BI reporting workflows.
Design a request for a web app using MCP BigQuery Server: when a user asks, "Show the top 20 customers with the most active users this week," return the SQL, execution results, and a brief explanation.
An app-friendly request and response format including SQL, result data, and a short user-facing explanation.
Analyze BigQuery search and analytics data with conclusions and actionable recommendations.
Connect LLMs to Google BigQuery for querying and data analysis tasks.
Connect to BigQuery so AI can inspect schemas and run queries.
Query and explore BigQuery databases with natural language and schema discovery.
Query, analyze, and compare Google BigQuery data using natural language.
Query and manage Microsoft SQL Server databases with natural language.