mcp-bigquery-serverA Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interfac

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

The mcp-bigquery-server is a Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. It enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface. The server acts as a translator between the AI assistant and the database, ensuring secure and efficient communication. It allows users to query their BigQuery data using natural language, without the need to write SQL queries. The server validates every query using BigQuery's dry-run planner before execution, only allowing SELECT statements and preventing any mutations to the warehouse.

Key features

Read-only access to BigQuery datasets
Validation of queries using BigQuery's dry-run planner
Field-level access restrictions to protect sensitive data
Automatic scanning for sensitive fields
Configurable safe limits for data analysis

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Natural Language Querying

Allow LLMs to query BigQuery data using natural language, without the need to write SQL queries.

Secure Data Analysis

Provide secure, read-only access to BigQuery datasets for LLMs, while protecting sensitive data with field-level access restrictions.

Pros & Cons

Pros

Provides secure, read-only access to BigQuery datasets
Enables LLMs to query data using natural language
Protects sensitive data with field-level access restrictions
Automatically scans for sensitive fields and adds them to the restricted list

Cons

Requires setup and configuration
May have limitations on query complexity and data size

Reviews

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Q&A

What can it do?

Read‑only by design — only SELECT statements are allowed. Every query is validated by BigQuery’s own dry‑run planner before execution, so INSERT, UPDATE, DELETE, DROP, TRUNCATE, EXPORT DATA, and MERGE are all rejected. The AI agent cannot mutate your warehouse. You can run SQL queries by asking questions in plain English, access tables and materialized views, explore dataset schemas, analyze data within configurable safe limits, protect sensitive data with field‑level access restrictions, and auto‑discover sensitive fields. All behavior is driven by a configurable config.json.

Asked by Bruno Kaufmann · Jun 11, 2026

How does it work?

This server uses the Model Context Protocol (MCP), which is like a universal translator for AI‑database communication. MCP is supported by Claude Desktop, Claude Code, and a growing number of other AI clients. To use it, set up authentication, add your project details to your MCP client’s config file, and then start chatting with your BigQuery data naturally.

Asked by Vikram Rao · May 6, 2026

What is this?

This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data — read-only, with no ability to mutate your warehouse. Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.

Asked by Yosef Mizrahi · May 3, 2026