Bigquery Analysis MCP Server

Bigquery Analysis MCP server exists for a simple reason — assistants are far more useful when they can act on Bigquery Analysis directly instead of describing what you should do. Run query in bigquery for analytics.

What you get

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

This server is an MCP server for executing SQL queries against Google BigQuery, providing the following features:

What the assistant can call

Once Bigquery Analysis is connected, these are the calls the assistant has available:

• dry_run_query — Perform a dry run of a BigQuery query
• run_query_with_validation — Run a BigQuery query with validation
• Tools — The Tools tool exposed by this server
• Prerequisites — The Prerequisites tool exposed by this server
• Build — The Build tool exposed by this server
• Debugging — Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration and credentials

You will need one environment variable: GOOGLE_APPLICATION_CREDENTIALS. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Node.js (v16 or higher) - Google Cloud authentication setup (gcloud CLI or service account)

Choosing this one

Plenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Bigquery Analysis's toolset — dry_run_query, run_query_with_validation, Tools and 3 more — is a fair guide to whether it matches your workflow. It is maintained by gotalab; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the bigquery analysis mcp server does with a few real requests.