MCP.Market

Bigquery MCP server

by SnowLeopard-AI·io.github.SnowLeopard-AI/bigquery-mcp·v0.1.1·10 stars
No reviews yet

A SnowLeopardAI-managed MCP server that provides access to Google BigQuery data.

B77/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B77/100

full report

Adoption
New

10 stars13 downloads/wk

Reviews

Write one

Nobody has reviewed Bigquery yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Bigquery tools (1, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • querywrite action

    Executes the provided BigQuery sql statement and returns the results

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan5 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 184 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 77/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Bigquery compares

Against every graded Databases MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
77/100
higher than 40% of 802 Databases servers
Tools
1
the typical Databases server has 8
Tools that change things
100%
typical: 10%. Fewer write tools means less an agent can break
GitHub stars
10
more than 80% of 601 Databases servers
Downloads a week
13
more than 3% of 324 Databases servers with a package

What its tools let an agent do: 1 change

Install Bigquery in Claude Code, Cursor or VS Code

claude mcp add bigquery-mcp -- uvx sl-bigquery-mcp
Add to Cursor

What the publisher says

From the Bigquery repository's README, as published. We do not edit it. Read it on GitHub

Snow Leopard BigQuery MCP <!-- mcp-name: io.github.SnowLeopard-AI/bigquery-mcp -->

A Model Context Protocol (MCP) server for Google BigQuery that enables AI agents to interact with BigQuery databases through natural language queries and schema exploration.

This project was developed by Snow Leopard AI as a benchmarking tool for our platform, and we're making it publicly available for the community to use and build upon.

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI applications to securely connect to external data sources and tools. This BigQuery MCP server acts as a bridge between AI agents and your BigQuery datasets.

Snow Leopard BigQuery MCP Server Features

Resources

Tools

Quick Start: Claude Desktop

Prerequisites

Before getting started, ensure you have:

  • Claude Desktop: Download here
  • Google Cloud Project with BigQuery enabled: Setup guide
  • Google Cloud CLI (gcloud): Installation guide
  • UV Package Manager: Installation guide

1. Setup Google Cloud

First, we need to authenticate with Google.

gcloud auth application-default login

This opens your browser to authenticate your local machine with Google Cloud.

2. Configure Claude Desktop

Edit your claudedesktopconfig.json file to add the BigQuery MCP server.

Application: Claude > Settings > Developer > Edit Config Mac: ~/Library/Application\ Support/Claude/claudedesktopconfig.json Windows: %APPDATA%\\Claude\\claudedesktopconfig.json

You will need to set your project to a Google Cloud project with permissions to submit bigquery jobs. If you do not have a project that you can run bigquery jobs on, create and test one by following Google's BigQuery Quickstart Guide Create a project and follow the instructions to query a public dataset.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Bigquery: common questions

Is Bigquery MCP server safe?
Mostly: it is graded B (77/100). Read the Bigquery safety report
How do I install Bigquery?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Bigquery need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Bigquery maintained?
The last commit was 220 days ago (2026-03-27). The latest release is v0.1.1.
What can I use instead of Bigquery?
Servers from other publishers that do the same job: Zektor MCP server.
How does Bigquery compare with other Databases MCP servers?
safety score 77/100 (higher than 40% of 802 Databases servers); tools 1 (the typical Databases server has 8); tools that change things 100% (typical: 10%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Bigquery

Same job from other publishers: the closest match first, then the best rated.

  • Zektor
    Managed Postgres and Valkey hosted in Germany. Agents can create a trial database with no signup.
    B