Google

Entreprise

BigQuery MCP server
BigQuery MCP server
BigQuery MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents

Q: What is the BigQuery MCP server?

It’s a Model Context Protocol server that exposes the BigQuery API operations as tools. Claude, ChatGPT, Cursor or your own agents call them through the Mindflow MCP Gateway.

Q: Do I need an official MCP server from the vendor?

No. Mindflow exposes BigQuery as an MCP server through its native connector, which covers the full API and stays current when the API changes.

Q: Which AI clients can use BigQuery through MCP?

MCP-compatible clients such as Claude, ChatGPT, Cursor, Codex or your own agents. They connect to one governed endpoint, so changing clients doesn’t mean rebuilding access.

Q: How do I control what AI agents can do in BigQuery?

In the MCP Gateway, choose the tools each client may call. Allow reads, require human approval before sensitive writes and block the rest. Credentials stay in Mindflow and every call is logged.

Q: Can the same connection power automated workflows?

Yes. The same BigQuery connector runs in Mindflow flows and AI··Agents, so one connection serves your AI clients and your automations.

Expose BigQuery to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.

Book a demo

See the integration

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

Our customers scale automation with security built in.

Read customer story

Tools exposed by this MCP server

Every BigQuery operation, as an MCP tool

Each API operation becomes a tool your AI client can call. You decide which ones: allow reads, require approval before sensitive writes and block the rest. A few of the most used:

BigQuery
BigQuery
Delete dataset
Delete dataset
BigQuery
BigQuery
Delete table
Delete table
BigQuery
BigQuery
Get dataset
Get dataset
BigQuery
BigQuery
Get job
Get job
BigQuery
BigQuery
Get table
Get table
BigQuery
BigQuery
Insert dataset
Insert dataset
BigQuery
BigQuery
Insert job
Insert job
BigQuery
BigQuery
Insert table
Insert table
BigQuery
BigQuery
List datasets
List datasets
BigQuery
BigQuery
List jobs
List jobs
BigQuery
BigQuery
List tables
List tables
BigQuery
BigQuery
Patch dataset
Patch dataset
BigQuery
BigQuery
Patch table
Patch table
BigQuery
BigQuery
Query job
Query job
BigQuery
BigQuery
Update dataset
Update dataset
BigQuery
BigQuery
Update table
Update table

BigQuery
Delete dataset
BigQuery
Delete table
BigQuery
Get dataset
BigQuery
Get job
BigQuery
Get table
BigQuery
Insert dataset
BigQuery
Insert job
BigQuery
Insert table
BigQuery
List datasets
BigQuery
List jobs
BigQuery
List tables
BigQuery
Patch dataset
BigQuery
Patch table
BigQuery
Query job
BigQuery
Update dataset
BigQuery
Update table

BigQuery
BigQuery
Update table
Update table
BigQuery
BigQuery
Update dataset
Update dataset
BigQuery
BigQuery
Query job
Query job
BigQuery
BigQuery
Patch table
Patch table
BigQuery
BigQuery
Patch dataset
Patch dataset
BigQuery
BigQuery
List tables
List tables
BigQuery
BigQuery
List jobs
List jobs
BigQuery
BigQuery
List datasets
List datasets
BigQuery
BigQuery
Insert table
Insert table
BigQuery
BigQuery
Insert job
Insert job
BigQuery
BigQuery
Insert dataset
Insert dataset
BigQuery
BigQuery
Get table
Get table
BigQuery
BigQuery
Get job
Get job
BigQuery
BigQuery
Get dataset
Get dataset
BigQuery
BigQuery
Delete table
Delete table
BigQuery
BigQuery
Delete dataset
Delete dataset

BigQuery
Update table
BigQuery
Update dataset
BigQuery
Query job
BigQuery
Patch table
BigQuery
Patch dataset
BigQuery
List tables
BigQuery
List jobs
BigQuery
List datasets
BigQuery
Insert table
BigQuery
Insert job
BigQuery
Insert dataset
BigQuery
Get table
BigQuery
Get job
BigQuery
Get dataset
BigQuery
Delete table
BigQuery
Delete dataset

Connect BigQuery to your AI client in three steps.

01 Connect the service

Add BigQuery in Mindflow with its credentials. They stay in Mindflow and never reach the AI client.

02 Choose the tools

Pick the operations each AI client may call. Allow reads, require approval before sensitive writes and block the rest.

03 Connect your AI client

Point Claude, ChatGPT, Cursor or your own agent to your MCP Gateway endpoint, then check real calls in the audit log.

How the MCP Gateway governs every call

Use cases

What your AI agents can do with BigQuery

AI clients

Mindflow

BigQuery

→ Automate dataset lifecycle management by detecting stale datasets and triggering automated inserts, updates, or deletions to maintain up-to-date data repositories across projects → Streamline job monitoring and control by automatically querying job statuses, canceling stalled jobs, and retrieving query results to support dynamic workload management → Enhance data security compliance by automatically fetching and setting IAM policies on row access controls to enforce governance across sensitive BigQuery tables

Google

Entreprise

MCP servers:

BigQuery Connection

BigQuery Data Transfer

BigQuery Reservation

Cloud Deployment Manager

Entreprise Cloud Speech-to-Text

Entreprise Cloud Translation

Google Access Context Manager

Google Agent Registry

Google Anthos On-Prem

Google Apigee

Google Apigee Registry

Google App Engine Admin

Google Artifact Registry

Google Assured Workloads

Google Bare Metal Solution

Google Binary Authorization

Google Cloud Asset

Google Cloud Bigtable Admin

Google Cloud Billing

Google Cloud Billing Budget

Google Cloud Build

Google Cloud Composer

Google Cloud Data Catalog

Google Cloud Data Fusion

Google

MCP servers:

Abusive Experience Report

AdMob

AdSense Management

Advisory Notifications

Air Quality

Analytics

Android Device Provisioning

Android Management

AppSheet

Area120 Tables

Authorized Buyers Marketplace

BeyondCorp

Campaign Manager 360

Chrome Policy

Chrome User Experience Report

Chrome Verified Access

Chronicle Security Search

Cloud Testing

Cloud Workstations

Contact Center AI Insights

Contact Center AI Platform

Data Pipelines

Developer Tools Custom Search

Dialogflow

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Every call to BigQuery goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.

Discover the MCP Gateway

BigQuery MCP server

Live

RBAC · SecOps

Scoped credentials

Audit log

Delete dataset

Allowed

Delete table

Allowed

Get dataset

Needs approval

Get job

Blocked

Every call logged · Export to SIEM

Questions about the BigQuery MCP server

Clear answers before you connect an AI client.

What is the BigQuery MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use BigQuery through MCP?

How do I control what AI agents can do in BigQuery?

Can the same connection power automated workflows?

Questions about the BigQuery MCP server

Clear answers before you connect an AI client.

What is the BigQuery MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use BigQuery through MCP?

How do I control what AI agents can do in BigQuery?

Can the same connection power automated workflows?

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Put this MCP server to work.

Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.

Book a demo

Put this MCP server to work.

Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.

Book a demo

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

Every BigQuery operation, as an MCP tool

Every BigQuery operation, as an MCP tool

Connect BigQuery to your AI client in three steps.

01

Connect the service

02

Choose the tools

03

Connect your AI client

What your AI agents can do with BigQuery

What your AI agents can do with BigQuery

More

More

Google

Google

Entreprise

Entreprise

MCP servers:

MCP servers:

More

More

Google

Google

MCP servers:

MCP servers:

Every call goes through one governed endpoint.

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Your AI clients get access. You keep control.

Questions about the BigQuery MCP server

Questions about the BigQuery MCP server

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.