BigQuery
Inspect schemas and execute SQL queries on Google BigQuery.
This BigQuery MCP server, developed by LucasHild, provides a streamlined interface for language models to interact with Google BigQuery databases. It enables AI agents to inspect database schemas, list tables, and execute SQL queries using the BigQuery dialect. The server is configurable with project ID, location, and optional dataset filtering. By leveraging BigQuery's powerful data warehousing capabilities, it allows AI systems to analyze large datasets efficiently. This implementation is particularly useful for AI assistants designed to perform data analysis tasks, generate insights from business intelligence data, or automate reporting processes using BigQuery as the backend data source.
Source
Repository: https://github.com/lucashild/mcp-server-bigquery
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