The best MCP servers for Google BigQuery — let AI agents explore datasets, inspect schemas, and run SQL against your data warehouse.
Browse all BigQuery servers →No servers listed for this topic yet.
BigQuery bills by bytes scanned, so an agent writing exploratory queries can get expensive. Prefer servers that dry-run queries or cap maximum bytes billed, and point them at partitioned tables.
Use a service account with BigQuery Data Viewer and Job User roles on specific datasets instead of project-wide editor access.
This page ranks BigQuery MCP servers by real usage across the AllMCPs directory. Prefer servers that support dry runs or byte limits to keep query costs predictable.
Set a maximum bytes billed limit, give the service account access only to needed datasets, and use a server that dry-runs queries to estimate cost before executing.
Usually a Google Cloud service account key or application default credentials, with read and job-run roles on the datasets the agent should query.