Google BigQuery CLI for AI Agents

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Introduction

CLIs are eating MCPs. The industry is converging on the very same idea. MCPs for all their merit can be token hungry, slow, and unreliable for complex tool chaining. However, coding agents have become incredibly good at working with CLIs, and in fact they are far more comfortable working with CLI tools than MCP.

With Composio's Universal CLI, your coding agents can talk to over 1000+ SaaS applications. With Google BigQuery, agents can run yesterday's sales summary query, find top 10 customers by revenue, analyze traffic data for last quarter, and more — all without worrying about authentication.

This guide walks you through Composio Universal CLI and explains how you can connect it with coding agents like Claude Code, Codex, OpenCode, etc, for end-to-end Google BigQuery automation.

Also integrate Google BigQuery with

What is Universal CLI and why use it?

The idea behind building the universal CLI is to give agents a single command interface to interact with all your external applications. Here's what you'll get with it:

  • Agent-friendly: Coding agents like Claude Code, Codex, and OpenCode can use CLI tools natively — no MCP setup required.
  • Authentication handled: Connect once via OAuth or API Key, and all CLI commands work with your credentials automatically.
  • Tool discovery: Search, inspect, and execute 20,000+ tools across 1000+ apps from one interface.
  • Trigger support: Use triggers to listen for events across your apps, powered by real-time webhooks or polling under the hood.
  • Type generation: Generate typed schemas for autocomplete and type safety in your projects.

Prerequisites

Install the Composio CLI, authenticate, and initialize your project:

bash
# Install the Composio CLI
curl -fsSL https://composio.dev/install | bash

# Authenticate with Composio
composio login

During login you'll be redirected to sign in page, finish the complete flow and you're all set.

Composio CLI authentication flow

Connecting Google BigQuery to Coding Agents via Universal CLI

Once it is installed, it's essentially done. Claude Code, Codex, OpenCode, OpenClaw, or any other agent will be able to access the CLI. A few steps to give agents access to your apps.

  1. Launch your Coding Agent — Claude Code, Codex, OpenCode, anything you prefer.
  2. Prompt it to "Authenticate with Google BigQuery"
  3. Complete the authentication and authorization flow and your Google BigQuery integration is all set.
  4. Start asking anything you want.

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.

Universal CLI Commands for Google BigQuery

You can also manually execute CLI commands to interact with your Google BigQuery.

Connect your Google BigQuery account

Link your Google BigQuery account and verify the connection:

bash
# Connect your Google BigQuery account (opens OAuth flow)
composio connected-accounts link googlebigquery

# Verify the connection
composio connected-accounts list --toolkits googlebigquery

Discover Google BigQuery tools

Search and inspect available Google BigQuery tools:

bash
# List all available Google BigQuery tools
composio tools list --toolkit googlebigquery

# Search for Google BigQuery tools by action
composio tools search "google bigquery"

# Inspect a tool's input schema
composio tools info GOOGLEBIGQUERY_QUERY

Common Google BigQuery Actions

Query — Query tool will run a sql query in bigquery

bash
composio tools execute GOOGLEBIGQUERY_QUERY \
  --query "<string>"

Generate Type Definitions

Generate typed schemas for Google BigQuery tools to get autocomplete and type safety in your project:

bash
# Auto-detect language
composio generate --toolkits googlebigquery

# TypeScript
composio ts generate --toolkits googlebigquery

# Python
composio py generate --toolkits googlebigquery

Tips & Tricks

  • Always inspect a tool's input schema before executing: composio tools info <TOOL_NAME>
  • Pipe output with jq for better readability: composio tools execute TOOL_NAME -d '{}' | jq
  • Set COMPOSIO_API_KEY as an environment variable for CI/CD pipelines
  • Use composio dev logs tools to inspect execution logs and debug issues

Next Steps

  • Try asking your coding agent to perform various Google BigQuery operations
  • Explore cross-app workflows by connecting more toolkits
  • Set up triggers for real-time automation
  • Use composio generate for typed schemas in your projects

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FAQ

What is the Composio Universal CLI?

The Composio Universal CLI is a single command-line interface that lets coding agents and developers interact with 1000+ SaaS applications. It handles authentication, tool discovery, action execution, and trigger setup — all from the terminal, without needing to configure MCP servers.

Which coding agents work with the Composio CLI?

Any coding agent that can run shell commands works with the Composio CLI — including Claude Code, Codex, OpenCode, OpenClaw, and others. Once the CLI is installed, agents automatically discover and use the composio commands to interact with Google BigQuery and other connected apps.

How is the CLI different from using an MCP server for Google BigQuery?

MCP servers require configuration and can be token-heavy for complex workflows. The CLI gives agents a direct, lightweight interface — no server setup needed. Agents simply call composio commands like any other shell tool. It's faster to set up, more reliable for multi-step tool chaining, and works natively with how coding agents already operate.

How safe is my Google BigQuery data when using the Composio CLI?

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. You can also bring your own OAuth credentials for full control.

Used by agents from

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Letta
glean
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Agent.ai
Altera
DataStax
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Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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