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Analyze BigQuery search and analytics data with conclusions and actionable recommendations.
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 the search analytics tables in BigQuery, find the 20 queries with the highest impressions but lowest CTR in the last 30 days, and summarize likely causes with optimization recommendations.
A list of underperforming queries, key metric comparisons, and actionable content or campaign optimization recommendations.
Using traffic and conversion data in BigQuery, compare visits, conversion rates, and CAC across marketing channels over the last 8 weeks, then determine which channels perform best and which need budget cuts.
A ranked channel performance summary, clear verdicts, and budget adjustment recommendations with supporting rationale.
Query the product funnel event data in BigQuery, analyze drop-off across stages from signup to paid conversion, identify the biggest friction point, and provide the highest-priority improvement recommendations.
A funnel stage analysis, likely causes of drop-off, and prioritized optimization actions.
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.
Inspect database schemas, index issues, table bloat, and query plans.
Query Google Analytics accounts, properties, reports, and realtime data efficiently.