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MC

mcp-server-bigquery

@LucasHild123

A Model Context Protocol server that provides access to BigQuery

bigquery
database
mcp-server

BigQuery MCP server

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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.
--timeout BIGQUERY_TIMEOUT No Maximum time in seconds to wait for a query to complete. If not provided, queries will wait indefinitely.

Installation

Installing via Smithery

To install BigQuery Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-server-bigquery --client claude

Claude Code

claude mcp add bigquery --scope user --transport stdio -- uvx mcp-server-bigquery --project {PROJECT_ID} --location {{LOCATION}}

Claude Desktop

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}}"
      }
    }
  }
}

Cursor

  1. Open Cursor Settings → MCP
  2. Click Add new global MCP server
  3. Add an entry for the BigQuery MCP, following the pattern below:
{
  "mcpServers": {
    "bigquery": {
      "command": "uvx",
      "args": ["mcp-server-bigquery"],
      "env": {
        "BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
        "BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
      }
    }
  }
}

# mcpServer Config

"mcpServers": {"bigquery": {"command": "uvx","args": ["mcp-server-bigquery","--project","{{GCP_PROJECT_ID}}","--location","{{GCP_LOCATION}}"]}}

# stdio

uvx mcp-server-bigquery --project {{GCP_PROJECT_ID}} --location {{GCP_LOCATION}}
Transport:
stdio
Language:
Python
Created: 12/3/2024
Updated: 3/22/2026
Homepage: