BigQuery MCP server

This is a small helper that connects your AI assistant to Google BigQuery, the place where lots of companies keep their big data tables. Once it is set up, you can just ask questions in normal words instead of writing database queries yourself. It is handy for anyone who needs numbers from BigQuery but does not want to learn SQL.

What this MCP server does

You ask your AI a question in plain English, like what were our top customers last month. The AI turns that into a BigQuery query and sends it through this helper. The helper checks the query is read-only, runs it against your BigQuery project, and hands the results back. Your AI then explains the numbers to you in the chat. It can also show you what tables and views exist in your datasets so you know what is available.

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What you can do with it

• Ask questions about your BigQuery data in plain English
• List the tables and views in your datasets
• Look at the structure of a table to see its columns
• Run read-only queries without writing SQL yourself
• Set a limit on how much data each query is allowed to scan
• Block certain sensitive columns from ever reaching the AI

Try asking your AI

• “What were our top 10 customers last month?”
• “Show me the tables in the sales dataset.”
• “What columns does the orders table have?”
• “How many new signups did we get each week this quarter?”

What it gives back to you

You get answers in plain language, usually with the numbers you asked for. When you ask about tables or columns, it gives you a list. When you ask a data question, it gives you the result rows or a short summary. Everything shows up right in the chat, so you can keep asking follow-up questions.

Before you start

Who it's for

Anyone who needs answers from BigQuery data but does not want to write SQL, especially analysts, managers, and support or ops people.