bigquery-mcp-server

takuya0206/bigquery-mcp-server

3.3

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A Model Context Protocol (MCP) server for accessing Google BigQuery. This server enables Large Language Models (LLMs) to understand BigQuery dataset structures and execute SQL queries.

Tools

Functions exposed to the LLM to take actions

query

Execute read-only (SELECT) BigQuery SQL queries with configurable maximum results and bytes billed.

list_all_datasets

List all datasets in the project, returning an array of dataset IDs.

list_all_tables_with_dataset

List all tables in a specific dataset with their schemas, requiring a datasetId parameter.

get_table_information

Get table schema and sample data, supporting partitioned tables with partition filters.

dry_run_query

Check query validity and estimate cost without execution, returning processing size and estimated cost.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources