A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
mcp-server-bigquery source profile. From the maintainer documentation: “A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.”
The documented pypi package is mcp-server-bigquery. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares BIGQUERY_PROJECT, BIGQUERY_LOCATION. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| 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 |
{
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": [
"mcp-server-bigquery"
],
"env": {
"BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
"BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| BIGQUERY_PROJECT | Declared in the maintainer’s client configuration. | Check documentation |
| BIGQUERY_LOCATION | Declared in the maintainer’s client configuration. | Check documentation |
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