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Run queries and inspect schemas in Google BigQuery
A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
The server implements one tool:
execute-query: Executes a SQL query using BigQuery dialectlist-tables: Lists all tables in the BigQuery databasedescribe-table: Describes the schema of a specific tableThe 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. |
--timeout | BIGQUERY_TIMEOUT | No | Maximum time in seconds to wait for a query to complete. If not provided, queries will wait indefinitely. |
To install BigQuery Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-server-bigquery --client claude
claude mcp add bigquery --scope user --transport stdio -- uvx mcp-server-bigquery --project {PROJECT_ID} --location {{LOCATION}}
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": ["mcp-server-bigquery"],
"env": {
"BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
"BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
}
}
}
}
{
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": ["mcp-server-bigquery"],
"env": {
"BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
"BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
}
}
}
}
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