bigquery-mcp

3.2

If you are the rightful owner of bigquery-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) Server for BigQuery.

The BigQuery-MCP server is designed to bridge the gap between AI Agents and data-related tasks, particularly in the realm of SQL query generation and execution. AI Agents, while proficient in code writing, often struggle with data tasks due to a lack of context about the database contents. This server provides tools that allow AI Agents to explore and understand the structure and contents of a BigQuery data warehouse, including datasets, tables, columns, and query history. By doing so, it enhances the ability of AI Agents to generate accurate and contextually relevant SQL queries. The server requires certain prerequisites, such as the 'uv' dependency management tool and 'gcloud' for creating a BigQuery client. It is particularly useful in environments where AI-driven data analysis is needed, and it integrates seamlessly with development tools like Cursor IDE.

Features

Facilitates AI-driven SQL query generation by providing database context.
Integrates with BigQuery to allow exploration of datasets, tables, and columns.
Supports query history examination to improve AI understanding of data usage patterns.
Requires 'uv' and 'gcloud' for seamless operation and client creation.
Compatible with development environments like Cursor IDE for enhanced tool usage.

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