Integrate Google BigQuery with Claude, Cursor, Chatbots & AI Agents MCP Server

Empower your AI agent to query massive datasets via BigQuery — execute Standard SQL, track active jobs, and inspect table schemas natively.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

execute

Execute query on Google BigQuery

Run an explicit BigQuery Standard SQL command

get

Get dataset on Google BigQuery

Get exact details of a specific BigQuery dataset

get

Get job on Google BigQuery

Get complete details of a specific BigQuery Job run

get

Get table on Google BigQuery

Get explicit metadata and schema details of a pure BigQuery Table

list

List datasets on Google BigQuery

List all explicit Datasets in the active GCP project

list

List jobs on Google BigQuery

List recent explicit BigQuery runtime Jobs securely

list

List tables on Google BigQuery

List explicit Tables natively contained within a Dataset

Security & Code Integrity Audit

Every tool in the Google BigQuery MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Will my prompt fail if it returns millions of rows?

It might hit the context window boundaries of the chosen foundational LLM. Good practice suggests instructing your AI to always append LIMIT 100 initially or run macro aggregations (like COUNT() or SUM()) natively inside BigQuery first.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

How Chatbots Interact with Google BigQuery

Build automated workflows with Cursor and Claude Code by connecting to the Google BigQuery MCP server.

LLM Orchestration for sql

The Google BigQuery integration allows Cursor and ChatGPT to securely fetch sql data. It handles the API requests required for industry titans operations.

AI Semantic Routing for data warehouse

Connect your AI agent to Google BigQuery for comprehensive data warehouse coverage. The integration features standard schemas for reliable industry titans tool execution.