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Connect LLMs to Google BigQuery for querying and data analysis tasks.
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 and query the dataset.sales table for the last 30 days of sales and order counts by region, then return a result table and key trend summary.
A query result with regional sales totals and a brief trend analysis.
Read the user activity table in BigQuery, identify pages with unusually high traffic in the past 7 days, and explain possible causes.
A list of anomalous pages, metric comparisons, and possible explanations for the spikes.
Based on the requirement "calculate monthly new paying users and their 30-day retention rate," generate BigQuery SQL and explain each step.
BigQuery-compatible SQL with a step-by-step explanation of the logic.
Connect to BigQuery so AI can inspect schemas and run queries.
Analyze BigQuery search and analytics data with conclusions and actionable recommendations.
Query and explore BigQuery databases with natural language and schema discovery.
Connect LLM apps to query and manage multiple databases through one tool.
Securely connect AI to query, analyze, and manage MySQL databases.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.