Google BigQuery MCP for AI Agents
Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Google BigQuery MCP or direct API to run complex SQL queries, analyze datasets, update tables, and automate reporting through natural language.
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.
Category
63 TOOLS
Oauth2Google Service Account
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Supported Tools
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.
Python
TypeScript
1
Install Composio
python
pip install composio claude-agent-sdkInstall the Composio SDK and Claude Agent SDK
2
Create Tool Router Session
python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.urlInitialize the Composio client and create a Tool Router session
3
Connect to AI Agent
python
import asyncio
options = ClaudeAgentOptions(
permission_mode='bypassPermissions',
mcp_servers={
'tool_router': {
'type': 'http',
'url': url,
'headers': {
'x-api-key': 'your-composio-api-key'
}
}
},
system_prompt='You are a helpful assistant with access to Google BigQuery tools.',
max_turns=10
)
async def main():
async with ClaudeSDKClient(options=options) as client:
await client.query('Run a SQL query to count rows in my_dataset.my_table')
async for message in client.receive_response():
if hasattr(message, 'content'):
for block in message.content:
if hasattr(block, 'text'):
print(block.text)
asyncio.run(main())Use the MCP server with your AI agent
Why Use Composio?
1
AI Native Google BigQuery Integration
- Supports both Google BigQuery MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Google BigQuery data
2
Managed Auth
- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Google BigQuery access
- Per user and per environment credentials instead of hard-coded keys
3
Agent Optimized Design
- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf
4
Enterprise Grade Security
- Fine-grained RBAC so you control which agents and users can access Google BigQuery
- Scoped, least privilege access to Google BigQuery resources
- Full audit trail of agent actions to support review and compliance
Use Google BigQuery with any AI Agent Framework
Choose a Framework you want to connect Google BigQuery with
ChatGPT
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OpenAI Agents SDK
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Claude Agents SDK
Use Google BigQuery MCP with Claude Agents SDK
Claude Code
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Claude Cowork
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Codex
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Cursor
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VS Code
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OpenCode
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OpenClaw
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Hermes
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CLI
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Google ADK
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Langchain
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AI SDK
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Mastra AI
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LlamaIndex
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CrewAI
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Pydantic AI
Use Google BigQuery MCP with Pydantic AI
Autogen
Use Google BigQuery MCP with Autogen
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Frequently Asked Questions
Do I need my own developer credentials to use Google BigQuery with Composio?
Yes, Google BigQuery requires you to configure your own Google Service Account credentials. Once set up, Composio handles secure credential storage and management for you.
Can I use multiple toolkits together?
Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.
Is Composio secure?
Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.
What if the API changes?
Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.
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Never worry about agent reliability
We handle tool reliability, observability, and security so you never have to second-guess an agent action.
