bigquery-mcp

bigquery-mcp

0
databases

The bigquery-mcp project is a Model Context Protocol Server designed for BigQuery to aid AI Agents in performing data-related tasks effectively. It provides the necessary tools to explore BigQuery data warehousing, enabling better context for SQL queries and database analysis.

bigquery-mcp

A Model Context Protocol (MCP) Server for BigQuery aimed at facilitating AI Agents in performing data-related tasks efficiently by providing tools to examine the contents of a BigQuery data warehouse such as datasets, tables, and columns. Key features include dependency management via uv, running the server with uv and Taskfile, and integration capabilities with Cursor IDE.

Prerequisites

  • Install uv and gcloud for BigQuery Client creation.
  • Configure GOOGLE_APPLICATION_CREDENTIALS if necessary.

Quickstart for Cursor IDE

  1. Ensure prerequisites.
  2. Clone repository.
  3. Run uv sync for dependencies.
  4. Start server using Cursor IDE settings.

Details

AI Agents struggle with data-related tasks due to a lack of context regarding database contents. This server addresses this by offering tools for better database examination.