How to integrate Google BigQuery MCP with Grok Build

Connect Grok Build to Google BigQuery MCP. Run yesterday's sales summary query, find top 10 customers by revenue, and more from your terminal, with authentication handled for you.

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Google BigQuery is a fully managed cloud data warehouse for fast SQL analytics on massive datasets. It's designed to help you analyze big data with ease, speed, and built-in machine learning.

63 Tools

How to integrate Google BigQuery MCP with Grok Build

Grok Build is xAI's terminal coding agent. It runs on Grok 4.5, plans its work before it acts, and can run multiple sub-agents in parallel. It also reads Claude Code's MCP configuration, so any server you already have in a .mcp.json is picked up with no changes.

In this guide, I will show you how to connect your Google BigQuery account to Grok Build through Composio, so it can run yesterday's sales summary query, find top 10 customers by revenue, analyze traffic data for last quarter, and more without leaving the terminal. Composio holds the OAuth tokens for you, and Grok Build only calls the tools you approve.

Also integrate Google BigQuery with

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Why use Composio over a standalone MCP server?

  • Read and write access. Composio's Google BigQuery integration lets Grok Build take real actions like creating drafts, sending updates, and labeling records, not just reading data.
  • 1,000+ SaaS toolkits out of the box. One endpoint gives you a full catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
  • One MCP server for every app. Wire up a single Composio server instead of maintaining a separate MCP entry for each app.
  • Smart, context-aware tool loading. Grok Build caps how many tools it holds in a single request. Composio loads only the tools a task needs, so you do not spend that budget on tools you are not using.
  • Cross-app automation. Chain actions across apps in one run. Pull a thread, summarize it in Notion, and post the highlights to Slack from a single prompt.

Prerequisites

  • Grok Build installed and signed in. Install with curl -fsSL https://x.ai/cli/install.sh | bash on macOS or Linux, or irm https://x.ai/cli/install.ps1 | iex on Windows PowerShell. On first launch Grok opens a browser to authenticate; for headless or CI use, set an XAI_API_KEY environment variable instead (create the key at console.x.ai).
  • Access to the Google BigQuery account you want to connect.
  • The Composio MCP endpoint. Composio's server is remote and hosted, so there is nothing to run locally and no tunnel to set up.

Step-by-step: Connect Google BigQuery to Grok Build

1. Install and verify Grok Build

Install the CLI, then restart your shell so the grok binary lands on your PATH:

bash
curl -fsSL https://x.ai/cli/install.sh | bash
which grok

On Windows, install with PowerShell instead: irm https://x.ai/cli/install.ps1 | iex. If which grok returns a path, you are set. Grok Build runs on Grok 4.5 by default; you can switch models inside the session with /model <name>.

2. Add the Composio server

Add Composio as a remote HTTP MCP server with the grok mcp add command:

bash
grok mcp add --transport http composio https://connect.composio.dev/mcp

You can also add and manage servers from inside a session. Run /mcps to open the extensions modal on the MCP tab, then add a new server and paste the Composio URL. Added this way, Grok auto-detects the name from the URL and lists the server as connect:

bash
https://connect.composio.dev/mcp
Grok Build /mcps extensions modal listing MCP servers Grok Build adding the Composio MCP server with its URL

Grok also reads Claude Code-style config, so an entry in ~/.grok/config.toml or a project .mcp.json works the same way.

3. Authenticate

Composio uses OAuth. In the /mcps modal, select the Composio server and press i to authenticate (Grok also triggers this browser flow automatically the first time it uses a Composio tool). Click Allow to authorize access. Grok stores the tokens under ~/.grok/mcp_credentials.json, and /mcps shows Composio as connected.

Grok Build prompting to authenticate the Composio MCP server Composio authorization screen with the Allow button for Grok Build

4. Start building

Ask Grok to work with your Google BigQuery account through Composio. On the first Google BigQuery action, Composio prompts you to connect the account through OAuth. Approve the scopes once, and Composio handles token refresh from there.

What you can do after connecting Google BigQuery

  • Run yesterday's sales summary query
  • Find top 10 customers by revenue
  • Analyze traffic data for last quarter
  • Get failed transactions count this week

Security + privacy notes (important)

  • Use least-privilege access. Grant only the Google BigQuery scopes you actually need.
  • Review OAuth scopes before approving. Check that the requested scopes match what you expect Composio and Grok Build to do.
  • Keep write actions human-reviewed. Grok Build proposes a plan before it acts. Leave that approval step on for actions like sending messages or editing records.
  • Keep secrets out of version control. Your XAI_API_KEY and any tokens should never be committed. Use environment variables or a secrets manager.
TOOLS

Supported Tools

Every Google BigQuery action and event your agent gets out of the box.

Cancel BigQuery Job

Tool to cancel a running BigQuery job.

Create Capacity Commitment

Tool to create a new capacity commitment resource in BigQuery Reservation.

Create BigQuery Connection

Tool to create a new BigQuery connection to external data sources using the BigQuery Connection API.

Create Analytics Hub Data Exchange

Tool to create a new Analytics Hub data exchange for sharing BigQuery datasets.

Create Analytics Hub Listing

Tool to create a new listing in a BigQuery Analytics Hub data exchange.

Create BigQuery Dataset

Tool to create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API.

Create Analytics Hub Listing

Tool to create a new listing in a data exchange using Analytics Hub API.

Create BigQuery Data Policy (v2beta1)

Tool to create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API.

Create Analytics Hub Query Template

Tool to create a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange.

Create BigQuery Reservation

Tool to create a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs.

Create BigQuery Reservation Assignment

Tool to create a BigQuery reservation assignment that allows a project, folder, or organization to submit jobs using slots from a specified reservation.

Create BigQuery Routine

Tool to create a new user-defined routine (function or procedure) in a BigQuery dataset.

Create BigQuery Table

Tool to create a new, empty table in a BigQuery dataset.

Delete BigQuery Dataset

Tool to delete a BigQuery dataset specified by datasetId via the datasets.

Delete BigQuery Job Metadata

Tool to delete the metadata of a BigQuery job.

Delete BigQuery ML Model

Tool to delete a BigQuery ML model from a dataset.

Delete BigQuery Routine

Tool to delete a BigQuery routine by its ID.

Delete BigQuery Table

Tool to delete a BigQuery table from a dataset.

Get BigQuery ML Model

Tool to retrieve a specific BigQuery ML model resource by model ID.

Get BigQuery Connection IAM Policy

Tool to get the IAM access control policy for a BigQuery connection resource.

Get BigQuery Dataset Metadata

Tool to retrieve BigQuery dataset metadata including location via the datasets.

Get BigQuery Job

Tool to retrieve information about a specific BigQuery job.

Get BigQuery Query Results

Tool to get the results of a BigQuery query job via RPC.

Get BigQuery Routine

Tool to retrieve a BigQuery routine (user-defined function or stored procedure) by its ID.

Get BigQuery Routine IAM Policy

Tool to retrieve the IAM access control policy for a BigQuery routine resource.

Get BigQuery Service Account

Tool to get the service account for a project used for interactions with Google Cloud KMS.

Get BigQuery Table IAM Policy

Tool to retrieve the IAM access control policy for a BigQuery table resource.

Get BigQuery Table Schema

Tool to fetch a BigQuery table's schema and metadata without querying row data.

Insert Data into BigQuery Table

Tool to stream data into BigQuery one record at a time without running a load job.

Insert BigQuery Job

Tool to start a new asynchronous BigQuery job (query, load, extract, or copy).

Insert BigQuery Job with Upload

Tool to start a new BigQuery load job with file upload.

List Analytics Hub Listings

Tool to list all listings in a given Analytics Hub data exchange.

List BigQuery Connections

Tool to list BigQuery connections in a given project and location.

List BigQuery Capacity Commitments

Tool to list all capacity commitments for the admin project.

List Data Exchange Listings

Tool to list all listings in a given Analytics Hub data exchange using the v1beta1 API.

List BigQuery Datasets

Tool to list datasets in a specific BigQuery project, including dataset locations.

List BigQuery Jobs

Tool to list all jobs that you started in a BigQuery project.

List BigQuery Data Transfer Locations

Tool to list information about supported locations for BigQuery Data Transfer Service.

List Connections in Location

Tool to list BigQuery connections in a given project and location using the v1beta1 API.

List BigQuery Location Data Policies

Tool to list all data policies in a specified parent project and location using the v2beta1 API.

List BigQuery Models

Tool to list all BigQuery ML models in a specified dataset.

List Organization Data Exchanges

Tool to list all data exchanges from projects in a given organization and location using Analytics Hub API.

List BigQuery Projects

Tool to list BigQuery projects to which the user has been granted any project role.

List Analytics Hub Query Templates

Tool to list all query templates in a given Analytics Hub data exchange.

List BigQuery Reservation Assignments

Tool to list BigQuery reservation assignments.

List BigQuery Reservation Groups

Tool to list all BigQuery reservation groups for a project in a specified location.

List BigQuery Reservations

Tool to list all BigQuery reservations for a project in a specified location.

List BigQuery Routines

Tool to list all routines (user-defined functions and stored procedures) in a BigQuery dataset.

List BigQuery Row Access Policies

Tool to list all row access policies on a specified BigQuery table.

List BigQuery Table Data

Tool to list the content of a BigQuery table in rows via the REST API.

List BigQuery Tables

Tool to list tables in a BigQuery dataset via the REST API.

Patch BigQuery Dataset

Tool to update an existing BigQuery dataset using RFC5789 PATCH semantics.

Patch BigQuery ML Model

Tool to update specific fields in an existing BigQuery ML model using PATCH semantics.

Patch BigQuery Table

Tool to update specific fields in an existing BigQuery table using RFC5789 PATCH semantics.

Query

Query Tool runs a SQL query in BigQuery using the REST API.

Search All BigQuery Reservation Assignments

Tool to search all BigQuery reservation assignments for a specified resource in a particular region.

Set BigQuery Routine IAM Policy

Tool to set the IAM access control policy for a BigQuery routine resource.

Test BigQuery Routine IAM Permissions

Tool to test which IAM permissions the caller has on a BigQuery routine.

Undelete BigQuery Dataset

Tool to undelete a BigQuery dataset within the time travel window.

Update BigQuery Connection

Tool to update a specified BigQuery connection using the BigQuery Connection API.

Update BigQuery Dataset

Tool to update information in an existing BigQuery dataset using the PUT method.

Update BigQuery Routine

Tool to update an existing BigQuery routine (function or stored procedure).

Update BigQuery Table

Tool to update an existing BigQuery table.

FRAMEWORKS

How to build Google BigQuery MCP Agent with another framework

ChatGPT Work logo

ChatGPT Work

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Antigravity

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OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use Google BigQuery MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Google BigQuery MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Google BigQuery MCP with Claude Cowork

Codex logo

Codex

Use Google BigQuery MCP with Codex

Kimi Code logo

Kimi Code

Use Google BigQuery MCP with Kimi Code

Cursor logo

Cursor

Use Google BigQuery MCP with Cursor

VS Code logo

VS Code

Use Google BigQuery MCP with VS Code

OpenCode logo

OpenCode

Use Google BigQuery MCP with OpenCode

OpenClaw logo

OpenClaw

Use Google BigQuery MCP with OpenClaw

Hermes logo

Hermes

Use Google BigQuery MCP with Hermes

CLI logo

CLI

Use Google BigQuery MCP with CLI

Google ADK logo

Google ADK

Use Google BigQuery MCP with Google ADK

LangChain logo

LangChain

Use Google BigQuery MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Google BigQuery MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Google BigQuery MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Google BigQuery MCP with LlamaIndex

CrewAI logo

CrewAI

Use Google BigQuery MCP with CrewAI

FAQ

Frequently asked questions

A standalone Google BigQuery MCP server gives Grok Build a fixed set of Google BigQuery tools tied to that one server. The Composio Tool Router lets Grok Build load tools from Google BigQuery and many other apps on demand, based on the task, all through a single endpoint.

Yes. Grok Build ships with native MCP support. Add a server with the grok mcp add command, from the in-session /mcps modal, or by editing ~/.grok/config.toml. It also reads Claude Code-style .mcp.json files, so Grok Build discovers the tools automatically.

Yes. Grok Build has zero-migration compatibility with Claude Code's configuration, so the same Composio server entry works in both without edits.

Tokens, keys, and configuration are encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant, so your Google BigQuery data and credentials are handled to that standard.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies