google-bigquery-mcp-server-by-cdata

google-bigquery-mcp-server-by-cdata

0
databases

CData's MCP Server for Google BigQuery is a read-only server designed to allow LLMs to query Google BigQuery using natural language, simplifying data interaction without SQL. Features include natural language querying, support for AI client integration, and a straightforward setup process.

Overview

CData's Model Context Protocol (MCP) Server for Google BigQuery is designed to facilitate LLMs in querying live data from Google BigQuery using the CData JDBC Driver. Features include a read-only access to the data accessible through natural language queries. A simplified setup is supported for quickly connecting and using the server.

Purpose

  • Enable LLMs to access Google BigQuery data.
  • Utilizes CData JDBC Driver for SQL model representation.
  • Provides data access without the need for SQL expertise.

Usage

  • Designed for integration with AI clients such as Claude Desktop.
  • Supports interaction through natural language queries.

Setup Guide

  1. Clone the repository.
  2. Build the server.
  3. Download and install the CData JDBC Driver for Google BigQuery.
  4. License the driver.
  5. Configure your data connection.

Running the Server

  • Commands provided for running the MCP Server independently.
  • Utilization via Claude Desktop explained.

Tools & Descriptions

  • Supports retrieving tables, columns, and executing queries as tools for LLM interaction.