Google BigQuery with Google ADK

How to integrate Google BigQuery MCP with Google ADK

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Introduction Also integrate Google BigQuery with TL;DR What is Google ADK What is the Google BigQuery MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Google BigQuery MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Google BigQuery to Google ADK using the Composio tool router. By the end, you'll have a working Google BigQuery agent that can run yesterday's sales summary query, find top 10 customers by revenue, analyze traffic data for last quarter through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Google BigQuery account through Composio's Google BigQuery MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Google BigQuery with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get a Google BigQuery account set up and connected to Composio
Install the Google ADK and Composio packages
Create a Composio Tool Router session for Google BigQuery
Build an agent that connects to Google BigQuery through MCP
Interact with Google BigQuery using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

Gemini Integration: Native support for Google's Gemini models
MCP Toolset: Built-in support for Model Context Protocol tools
Streamable HTTP: Connect to external services through streamable HTTP
CLI and Web UI: Run agents via command line or web interface

What is the Google BigQuery MCP server, and what's possible with it?

The Google BigQuery MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google BigQuery account. It provides structured and secure access to your data warehouse, so your agent can perform actions like running SQL queries, analyzing datasets, extracting insights, and automating reporting on your behalf.

Instant SQL query execution: Have your agent run complex analytical queries on any of your BigQuery datasets and get results in real time.
Custom data analysis and reporting: Instruct your agent to generate summaries, trends, or statistics by querying specific tables or views.
Automated data extraction: Let your agent fetch and transform data for integration with other tools or for further analysis.
Interactive business intelligence: Enable your agent to answer ad hoc data questions, visualize aggregated data, or pull specific metrics from massive datasets instantly.
Streamlined workflow automation: Use your agent to automate recurring BigQuery tasks, such as daily audits or data slice generation, without manual effort.

Supported Tools & Triggers

Tools

Cancel BigQuery JobTool to cancel a running BigQuery job.

Create Capacity CommitmentTool to create a new capacity commitment resource in BigQuery Reservation.

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

Create Analytics Hub Data ExchangeTool to create a new Analytics Hub data exchange for sharing BigQuery datasets.

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

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

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

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

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

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

Create BigQuery TableTool to create a new, empty table in a BigQuery dataset.

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

Delete BigQuery Job MetadataTool to delete the metadata of a BigQuery job.

Delete BigQuery ML ModelTool to delete a BigQuery ML model from a dataset.

Delete BigQuery RoutineTool to delete a BigQuery routine by its ID.

Delete BigQuery TableTool to delete a BigQuery table from a dataset.

Get BigQuery ML ModelTool to retrieve a specific BigQuery ML model resource by model ID.

Get BigQuery Connection IAM PolicyTool to get the IAM access control policy for a BigQuery connection resource.

Get BigQuery Dataset MetadataTool to retrieve BigQuery dataset metadata including location via the datasets.

Get BigQuery JobTool to retrieve information about a specific BigQuery job.

Get BigQuery Query ResultsTool to get the results of a BigQuery query job via RPC.

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

Get BigQuery Routine IAM PolicyTool to retrieve the IAM access control policy for a BigQuery routine resource.

Get BigQuery Service AccountTool to get the service account for a project used for interactions with Google Cloud KMS.

Get BigQuery Table IAM PolicyTool to retrieve the IAM access control policy for a BigQuery table resource.

Get BigQuery Table SchemaTool to fetch a BigQuery table's schema and metadata without querying row data.

Insert Data into BigQuery TableTool to stream data into BigQuery one record at a time without running a load job.

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

Insert BigQuery Job with UploadTool to start a new BigQuery load job with file upload.

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

List BigQuery ConnectionsTool to list BigQuery connections in a given project and location.

List BigQuery Capacity CommitmentsTool to list all capacity commitments for the admin project.

List Data Exchange ListingsTool to list all listings in a given Analytics Hub data exchange using the v1beta1 API.

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

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

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

List Connections in LocationTool to list BigQuery connections in a given project and location using the v1beta1 API.

List BigQuery Location Data PoliciesTool to list all data policies in a specified parent project and location using the v2beta1 API.

List BigQuery ModelsTool to list all BigQuery ML models in a specified dataset.

List Organization Data ExchangesTool to list all data exchanges from projects in a given organization and location using Analytics Hub API.

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

List Analytics Hub Query TemplatesTool to list all query templates in a given Analytics Hub data exchange.

List BigQuery Reservation AssignmentsTool to list BigQuery reservation assignments.

List BigQuery Reservation GroupsTool to list all BigQuery reservation groups for a project in a specified location.

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

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

List BigQuery Row Access PoliciesTool to list all row access policies on a specified BigQuery table.

List BigQuery Table DataTool to list the content of a BigQuery table in rows via the REST API.

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

Patch BigQuery DatasetTool to update an existing BigQuery dataset using RFC5789 PATCH semantics.

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

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

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

Search All BigQuery Reservation AssignmentsTool to search all BigQuery reservation assignments for a specified resource in a particular region.

Set BigQuery Routine IAM PolicyTool to set the IAM access control policy for a BigQuery routine resource.

Test BigQuery Routine IAM PermissionsTool to test which IAM permissions the caller has on a BigQuery routine.

Undelete BigQuery DatasetTool to undelete a BigQuery dataset within the time travel window.

Update BigQuery ConnectionTool to update a specified BigQuery connection using the BigQuery Connection API.

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

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

Update BigQuery TableTool to update an existing BigQuery table.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:

A Google API key for Gemini models
A Composio account and API key
Python 3.9 or later installed
Basic familiarity with Python

Getting API Keys for Google and Composio

Google API Key

Go to Google AI Studio and create an API key.
Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.

Composio API Key and User ID

Log in to the Composio dashboard.
Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

Install dependencies

bash

pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

google-adk is Google's Agents Development Kit
composio connects your agent to Google BigQuery via MCP
python-dotenv loads environment variables

Set up ADK project

bash

adk create my_agent

Set up a new Google ADK project.

What's happening:

This creates an agent folder with a root agent file and .env file

Set environment variables

bash

GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

GOOGLE_API_KEY authenticates with Google's Gemini models
COMPOSIO_API_KEY authenticates with Composio
COMPOSIO_USER_ID identifies the user for session management

Import modules and validate environment

python

import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

What's happening:

os reads environment variables
Composio is the main Composio SDK client
GoogleProvider declares that you are using Google ADK as the agent runtime
Agent is the Google ADK LLM agent class
McpToolset lets the ADK agent call MCP tools over HTTP

Create Composio client and Tool Router session

python

composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["googlebigquery"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")

What's happening:

Authenticates to Composio with your API key
Declares Google ADK as the provider
Spins up a short-lived MCP endpoint for your user and selected toolkit
Stores the MCP HTTP URL for the ADK MCP integration

Set up the McpToolset and create the Agent

python

composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Google BigQuery operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

What's happening:

Connects the ADK agent to the Composio MCP endpoint through McpToolset
Uses Gemini as the model powering the agent
Lists exact tool names in instruction to reduce misnamed tool calls

Run the agent

bash

# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

adk run runs the agent in CLI mode
adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Google BigQuery and Google ADK:

python

import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["googlebigquery"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Google BigQuery operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Google BigQuery with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Google BigQuery using natural language commands.

Key takeaways:

The Tool Router approach dynamically routes requests to the appropriate Google BigQuery tools
Environment variables keep your credentials secure and separate from code
Clear agent instructions reduce tool calling errors
The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

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FAQ

What are the differences in Tool Router MCP and Google BigQuery MCP?

With a standalone Google BigQuery MCP server, the agents and LLMs can only access a fixed set of Google BigQuery tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google BigQuery and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Google ADK?

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Google BigQuery tools.

Can I manage the permissions and scopes for Google BigQuery while using Tool Router?

Yes, absolutely. You can configure which Google BigQuery scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Google BigQuery data and credentials are handled as safely as possible.

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Harsha GaddipatiCo-founder, Slashy

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

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Google BigQuery MCP with Google ADK

Table of Contents

Connect Google BigQuery without Auth hassles

Introduction

Also integrate Google BigQuery with

TL;DR

What is Google ADK?

What is the Google BigQuery MCP server, and what's possible with it?

Supported Tools & Triggers

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for Google and Composio

Install dependencies

Set up ADK project

Set environment variables

Import modules and validate environment

Create Composio client and Tool Router session

Set up the McpToolset and create the Agent

Run the agent

Complete Code

Conclusion

How to build Google BigQuery MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Firecrawl

Tavily

Exa

FAQ

What are the differences in Tool Router MCP and Google BigQuery MCP?

Can I use Tool Router MCP with Google ADK?

Can I manage the permissions and scopes for Google BigQuery while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability