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Google BigQuery data warehouse integration. Run SQL queries, manage datasets and tables, and analyze large-scale data directly through AI assistants.
Live probe refreshed Sep 18, 2026 · Endpoint host bigquery.googleapis.com
List Dataset Ids
List BigQuery dataset IDs and BigLake namespaces in a Google Cloud project.
Get Dataset Info
Get metadata information about a BigQuery dataset or BigLake namespace.
List Table Ids
List table ids in a BigQuery dataset or BigLake namespace.
Get Table Info
Get metadata information about a BigQuery table or BigLake table.
Execute Sql Readonly
Run a read-only SQL query in the project and return the result.
Execute Sql
Run a SQL query in the project and return the result.
Get Query Results
Get the results of a BigQuery SQL query job.
Cancel Job
Cancel a running BigQuery job.
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Connect straight to this server’s public endpoint.
https://bigquery.googleapis.com/mcpThis server needs a sign-in. MCPBundles handles that setup once — then chat here with saved access and a log of what ran.
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Browse all toolsGoogle BigQuery data warehouse integration. Run SQL queries, manage datasets and tables, and analyze large-scale data directly through AI assistants. It provides MCP tools that your client discovers when it connects (this page may not list every tool name) that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/google-bigquery-mcp. Authentication is handled automatically.
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Google BigQuery MCP is a remote MCP server. The live tool list is supplied by the server when your MCP client connects, so the count is not fixed on this public page. After you connect in MCPBundles Studio or your client, you will see the tools your session can call.
Google BigQuery MCP uses One-click sign in. Google BigQuery MCP requires credentials. Connect via MCPBundles and authentication is handled automatically.
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