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by anzararshad • Data & Databases
An MCP server that lets Claude create BigQuery tables and insert generated sample data for rapid prototyping and testing.
Create BigQuery tables with custom schemas generated by an LLM and persist them directly into a Google Cloud project.
Generate and insert mock or sample datasets for testing ETL pipelines, model training, or RAG indexing workflows.
Automate population of example data into BigQuery for rapid prototyping and experimentation with Claude-driven data generation.
This project provides a Model Context Protocol (MCP) server that integrates Claude with Google BigQuery, enabling Claude to define table schemas, create tables, and insert mock data directly into BigQuery. It is intended for quickly generating sample datasets for testing, prototyping, and LLM/RAG training workflows. The README describes setup steps, required Google Cloud credentials, and how to register the tool with Claude Desktop for interactive use.
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