BigQuery MCP Server

Example Use Cases

• 1

  Explore and analyze large BigQuery datasets and tables efficiently with minimal context.

• 2

  Safely execute read-only SQL queries with cost and safety guardrails.

• 3

  Perform semantic similarity search using BigQuery vector embeddings.

Description

This MCP server provides a practical interface for large BigQuery projects, allowing LLMs to list datasets and tables with minimal context, fetch detailed metadata on demand, and safely execute read-only queries with cost limits. It supports vector search using BigQuery embeddings for semantic similarity search, optimizing LLM context size and query safety. The server is designed for fast, safe, and cost-transparent interaction with BigQuery data, ideal for AI agents analyzing large data warehouses.