Google Cloud BigQuery
com.google.cloud/bigqueryIntegrate analytical data into your agent workflows to achieve superior business results. By connecting your agents with BigQuery, you can provide actionable insights directly to them. Move past standard analytics and utilize BigQuery's advanced features, such as forecasting, to generate higher-value intelligence.
Score: 100/100
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Tools · 9
List BigQuery dataset IDs and BigLake namespaces in a Google Cloud project. Supports pagination. Use `page_size` to limit results and `page_token` to retrieve next page.
Get metadata information about a BigQuery dataset or BigLake namespace.
List table ids in a BigQuery dataset or BigLake namespace. Supports pagination. Use `page_size` to limit results and `page_token` to retrieve next page.
Get metadata information about a BigQuery table or BigLake table.
Run a read-only SQL query in the project and return the result. Prefer this tool over `execute_sql` if possible. This tool is restricted to only `SELECT` statements. `INSERT`, `UPDATE`, and `DELETE` …
Run a SQL query in the project and return the result. Prefer the `execute_sql_readonly` tool if possible. This tool can execute any query that bigquery supports including: * SQL Queries (`SELECT`, `…
Get the results of a BigQuery SQL query job. Use this tool ONLY when: 1. A previous `execute_sql` or `execute_sql_readonly` call returned `job_complete: false` with a `job_id` (poll with this tool…
Cancel a running BigQuery job. Use this tool to cancel a query job that is currently executing (i.e. returned `job_complete: false` with a `job_id` from `execute_sql` or `execute_sql_readonly`). Spec…
Get information and status about a BigQuery job. Use this tool to check the status, statistics, or configuration of a job using its `job_id`.
How to use
Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://bigquery.googleapis.com/mcp
Cursor or Cline: add to your MCP config:
{
"mcpServers": {
"google_cloud_bigquery": {
"url": "https://bigquery.googleapis.com/mcp",
"transport": "streamable-http"
}
}
}