BigQuery MCP server


A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.

Components

Tools

The server implements one tool:

execute-query: Executes a SQL query using BigQuery dialect

list-tables: Lists all tables in the BigQuery database

describe-table: Describes the schema of a specific table

Configuration

The server can be configured either with command line arguments or environment variables.

| Argument | Environment Variable | Required | Description |
| ------------ | -------------------- | -------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| --project | BIGQUERY_PROJECT | Yes | The GCP project ID. |
| --location | BIGQUERY_LOCATION | Yes | The GCP location (e.g. europe-west9). |
| --dataset | BIGQUERY_DATASETS | No | Only take specific BigQuery datasets into consideration. Several datasets can be specified by repeating the argument (e.g. --dataset my_dataset_1 --dataset my_dataset_2) or by joining them with a comma in the environment variable (e.g. BIGQUERY_DATASETS=my_dataset_1,my_dataset_2). If not provided, all datasets in the project will be considered. |
| --key-file | BIGQUERY_KEY_FILE | No | Path to a service account key file for BigQuery. If not provided, the server will use the default credentials.

... [truncated — view full README on GitHub]