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    Mcp Server Bigquery

    A Model Context Protocol server that provides access to BigQuery Python-based implementation.

    120 stars
    Python
    Updated Oct 16, 2025
    bigquery
    mcp
    mcp-server

    Table of Contents

    • Components
    • Tools
    • Configuration
    • Installation
    • Installing via Smithery
    • Claude Code
    • Claude Desktop
    • Cursor

    Table of Contents

    • Components
    • Tools
    • Configuration
    • Installation
    • Installing via Smithery
    • Claude Code
    • Claude Desktop
    • Cursor

    Documentation

    BigQuery MCP server

    smithery badge

    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.

    ArgumentEnvironment VariableRequiredDescription
    --projectBIGQUERY_PROJECTYesThe GCP project ID.
    --locationBIGQUERY_LOCATIONYesThe GCP location (e.g. europe-west9).
    --datasetBIGQUERY_DATASETSNoOnly 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-fileBIGQUERY_KEY_FILENoPath to a service account key file for BigQuery. If not provided, the server will use the default credentials.
    --timeoutBIGQUERY_TIMEOUTNoMaximum 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:

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

    Claude Code

    bash
    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

    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:

    json
    {
      "mcpServers": {
        "bigquery": {
          "command": "uvx",
          "args": ["mcp-server-bigquery"],
          "env": {
            "BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
            "BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
          }
        }
      }
    }

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