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Mcp Bigquery Server

Mcp Bigquery Server

Created by ergut•3 months ago
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A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.

Data & Storage
bigquerygoogle-cloudmcpmcp-serversmodel-context-protocol

BigQuery MCP Server

BigQuery MCP Server Logo

What is this? 🤔

This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.

Quick Example

You: "What were our top 10 customers last month?"
Claude: *queries your BigQuery database and gives you the answer in plain English*

No more writing SQL queries by hand - just chat naturally with your data!

How Does It Work? 🛠️

This server uses the Model Context Protocol (MCP), which is like a universal translator for AI-database communication. While MCP is designed to work with any AI model, right now it’s available as a developer preview in Claude Desktop.

Here’s all you need to do:

  1. Set up authentication (see below)
  2. Add your project details to Claude Desktop’s config file
  3. Start chatting with your BigQuery data naturally!

What Can It Do? 📊

  • Run SQL queries by just asking questions in plain English
  • Access both tables and materialized views in your datasets
  • Explore dataset schemas with clear labeling of resource types (tables vs views)
  • Analyze data within safe limits (1GB query limit by default)
  • Keep your data secure (read-only access)

Quick Start 🚀

Prerequisites

  • Node.js 14 or higher
  • Google Cloud project with BigQuery enabled
  • Either Google Cloud CLI installed or a service account key file
  • Claude Desktop (currently the only supported LLM interface)

Option 1: Quick Install via Smithery (Recommended)

To install BigQuery MCP Server for Claude Desktop automatically via Smithery, run this command in your terminal:

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

The installer will prompt you for:

  • Your Google Cloud project ID
  • BigQuery location (defaults to us-central1)

Once configured, Smithery will automatically update your Claude Desktop configuration and restart the application.

Option 2: Manual Setup

If you prefer manual configuration or need more control:

  1. Authenticate with Google Cloud (choose one method):

    • Using Google Cloud CLI (great for development):
      gcloud auth application-default login
      
    • Using a service account (recommended for production):
      # Save your service account key file and use --key-file parameter
      # Remember to keep your service account key file secure and never commit it to version control
      
  2. Add to your Claude Desktop config Add this to your claude_desktop_config.json:

    • Basic configuration:

      {
        "mcpServers": {
          "bigquery": {
            "command": "npx",
            "args": [
              "-y",
              "@ergut/mcp-bigquery-server",
              "--project-id",
              "your-project-id",
              "--location",
              "us-central1"
            ]
          }
        }
      }
      
    • With service account:

      {
        "mcpServers": {
          "bigquery": {
            "command": "npx",
            "args": [
              "-y",
              "@ergut/mcp-bigquery-server",
              "--project-id",
              "your-project-id",
              "--location",
              "us-central1",
              "--key-file",
              "/path/to/service-account-key.json"
            ]
          }
        }
      }
      
  3. Start chatting! Open Claude Desktop and start asking questions about your data.

Command Line Arguments

The server accepts the following arguments:

  • --project-id: (Required) Your Google Cloud project ID
  • --location: (Optional) BigQuery location, defaults to ‘us-central1’
  • --key-file: (Optional) Path to service account key JSON file

Example using service account:

npx @ergut/mcp-bigquery-server --project-id your-project-id --location europe-west1 --key-file /path/to/key.json

Permissions Needed

You’ll need one of these:

  • roles/bigquery.user (recommended)
  • OR both:
    • roles/bigquery.dataViewer
    • roles/bigquery.jobUser

Developer Setup (Optional) 🔧

Want to customize or contribute? Here’s how to set it up locally:

## Clone and install
git clone https://github.com/ergut/mcp-bigquery-server
cd mcp-bigquery-server
npm install

## Build
npm run build

Then update your Claude Desktop config to point to your local build:

{
  "mcpServers": {
    "bigquery": {
      "command": "node",
      "args": [
        "/path/to/your/clone/mcp-bigquery-server/dist/index.js",
        "--project-id",
        "your-project-id",
        "--location",
        "us-central1",
        "--key-file",
        "/path/to/service-account-key.json"
      ]
    }
  }
}

Current Limitations ⚠️

  • MCP support is currently only available in Claude Desktop (developer preview)
  • Connections are limited to local MCP servers running on the same machine
  • Queries are read-only with a 1GB processing limit
  • While both tables and views are supported, some complex view types might have limitations

Support & Resources 💬

  • 🐛 Report issues
  • 💡 Feature requests
  • 📖 Documentation

License 📝

MIT License - See LICENSE{:target=“_blank”} file for details.

Author ✍️

Salih Ergüt

Sponsorship

This project is proudly sponsored by:

OREDATA

Version History 📋

See CHANGELOG.md{:target=“_blank”} for updates and version history.

Prerequisites

  • •Familiarity with the server domain
  • •Basic understanding of related technologies
  • •Knowledge of Data & Storage

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Details

Created

March 07, 2025

Last Updated

March 07, 2025

Category

Data & Storage

Author

ergut

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