bigquery-mcp

what is bigquery-mcp?

bigquery-mcp is a Model Context Protocol (MCP) server designed to assist AI agents in inspecting the contents of a BigQuery data warehouse, helping them to generate better SQL queries for data analysis tasks.

how to use bigquery-mcp?

To use bigquery-mcp, ensure you have the necessary prerequisites installed, clone the repository, install dependencies using uv sync, and start the server with the provided command in Cursor IDE settings.

key features of bigquery-mcp?

• Provides AI agents with tools to examine datasets, tables, columns, and query history in BigQuery.
• Helps AI agents generate more accurate SQL queries by providing context about database contents.
• Integrates with Cursor IDE for seamless operation.

use cases of bigquery-mcp?

1. Assisting AI agents in writing SQL queries for data analysis.
2. Enabling better understanding of database structures for AI-driven applications.
3. Improving the efficiency of data-related tasks performed by AI agents.

FAQ from bigquery-mcp?

• What are the prerequisites for using bigquery-mcp?

You need to have the uv dependency management tool and Taskfile installed, along with gcloud for creating a BigQuery client.

• Is bigquery-mcp free to use?

Yes! bigquery-mcp is open-source and available for free on GitHub.

• How does bigquery-mcp improve AI agents' performance?

By providing context about the contents of the database, it helps AI agents write better SQL queries, thus enhancing their data analysis capabilities.